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ORCIDFarinaz Koushanfar
Person information
- affiliation: University of California, San Diego, USA
- affiliation (former): University of California, Berkeley, USA
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2020 – today
- 2023
[j62]Mojan Javaheripi
, Jung-Woo Chang, Farinaz Koushanfar:
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19(1): 7:1-7:20 (2023)- [j61]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. 133: 108985 (2023) - [j60]Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. ACM Trans. Embed. Comput. Syst. 22(2): 37:1-37:23 (2023) - [j59]Huili Chen, Farinaz Koushanfar:
Tutorial: Toward Robust Deep Learning against Poisoning Attacks. ACM Trans. Embed. Comput. Syst. 22(3): 42:1-42:15 (2023) - [j58]Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer:
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. IEEE Trans. Inf. Forensics Secur. 18: 2991-3005 (2023) - [c163]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar:
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. DSN 2023: 302-312 - [c162]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Adapting Skip Connections for Resource-Efficient FPGA Inference. FPGA 2023: 229 - [c161]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS 2023 - [c160]Christoph Sendner, Huili Chen, Hossein Fereidooni, Lukas Petzi, Jan König, Jasper Stang, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. NDSS 2023 - [i76]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. CoRR abs/2301.07247 (2023) - [i75]Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR abs/2304.01441 (2023) - [i74]Christoph Sendner, Ruisi Zhang, Alexander Hefter, Alexandra Dmitrienko, Farinaz Koushanfar:
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. CoRR abs/2307.08549 (2023) - [i73]Patrick McDaniel, Farinaz Koushanfar:
Secure and Trustworthy Computing 2.0 Vision Statement. CoRR abs/2308.00623 (2023) - [i72]Nasimeh Heydaribeni, Ruisi Zhang, Tara Javidi, Cristina Nita-Rotaru, Farinaz Koushanfar:
SABRE: Robust Bayesian Peer-to-Peer Federated Learning. CoRR abs/2308.02747 (2023) - [i71]Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar:
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. CoRR abs/2309.06779 (2023) - 2022
- [j57]Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar:
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. IEEE J. Sel. Areas Inf. Theory 3(2): 172-182 (2022) - [c159]Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar:
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. ICCAD 2022: 41:1-41:9 - [c158]Farinaz Koushanfar:
Intellectual Property (IP) Protection for Deep Learning and Federated Learning Models. IH&MMSec 2022: 5 - [c157]Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS 2022 - [c156]Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider:
FLAME: Taming Backdoors in Federated Learning. USENIX Security Symposium 2022: 1415-1432 - [c155]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. WACV 2022: 2898-2906 - [i70]Yein Kim, Huili Chen, Farinaz Koushanfar:
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. CoRR abs/2202.11196 (2022) - [i69]Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR abs/2203.02094 (2022) - [i68]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR abs/2203.10183 (2022) - [i67]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR abs/2204.01960 (2022) - [i66]Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar:
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. CoRR abs/2204.04329 (2022) - [i65]Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. CoRR abs/2204.06117 (2022) - [i64]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR abs/2204.09397 (2022) - [i63]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar:
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR abs/2206.04783 (2022) - [i62]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR abs/2206.12100 (2022) - [i61]Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer:
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. CoRR abs/2208.02125 (2022) - [i60]Diego Garcia-soto, Huili Chen, Farinaz Koushanfar:
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. CoRR abs/2208.04943 (2022) - [i59]Ruisi Zhang, Seira Hidano, Farinaz Koushanfar:
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers. CoRR abs/2209.10505 (2022) - [i58]Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar:
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. CoRR abs/2209.12391 (2022) - 2021
- [j56]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. IEEE Des. Test 38(3): 31-38 (2021) - [j55]Farinaz Koushanfar:
Provably Secure Sequential Obfuscation for IC Metering and Piracy Avoidance. IEEE Des. Test 38(3): 51-57 (2021) - [j54]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWANN: Small-World Architecture for Fast Convergence of Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 575-585 (2021) - [j53]Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 611-619 (2021) - [j52]Karla P. S. Oliveira Esquerre, Mariza Mello, Gabriella Botelho, Zikang Deng, Farinaz Koushanfar, Asher Kiperstok:
Water end-use consumption in low-income households: Evaluation of the impact of preprocessing on the construction of a classification model. Expert Syst. Appl. 185: 115623 (2021) - [j51]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j50]Malhar Jere, Tyler Farnan, Farinaz Koushanfar:
A Taxonomy of Attacks on Federated Learning. IEEE Secur. Priv. 19(2): 20-28 (2021) - [j49]Siam U. Hussain, M. Sadegh Riazi, Farinaz Koushanfar:
The Fusion of Secure Function Evaluation and Logic Synthesis. IEEE Secur. Priv. 19(2): 48-55 (2021) - [j48]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Trans. Dependable Secur. Comput. 18(2): 736-752 (2021) - [c154]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. ACML 2021: 252-267 - [c153]Farinaz Koushanfar:
Machine Learning on Encrypted Data: Hardware to the Rescue. ASHES@CCS 2021: 1 - [c152]Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. CCS 2021: 3266-3281 - [c151]Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
On the Application of Binary Neural Networks in Oblivious Inference. CVPR Workshops 2021: 4630-4639 - [c150]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. ICCAD 2021: 1-9 - [c149]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
ProFlip: Targeted Trojan Attack with Progressive Bit Flips. ICCV 2021: 7698-7707 - [c148]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. ICCVW 2021: 12-20 - [c147]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium 2021: 2273-2290 - [c146]Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV 2021: 3347-3356 - [i57]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. CoRR abs/2102.00151 (2021) - [i56]Xinqiao Zhang, Huili Chen, Farinaz Koushanfar:
TAD: Trigger Approximation based Black-box Trojan Detection for AI. CoRR abs/2102.01815 (2021) - [i55]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. CoRR abs/2102.07325 (2021) - [i54]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR abs/2103.03344 (2021) - [i53]Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. CoRR abs/2103.12607 (2021) - [i52]Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR abs/2104.11413 (2021) - [i51]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. CoRR abs/2109.02836 (2021) - [i50]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. CoRR abs/2111.01932 (2021) - [i49]Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami:
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. CoRR abs/2111.03985 (2021) - 2020
- [j47]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. IEEE J. Sel. Top. Signal Process. 14(4): 750-764 (2020) - [j46]Cheng Fu, Huili Chen, Zhenheng Yang, Farinaz Koushanfar, Yuandong Tian, Jishen Zhao:
Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. IEEE Micro 40(5): 46-55 (2020) - [j45]Arslan Munir, Farinaz Koushanfar:
Design and Analysis of Secure and Dependable Automotive CPS: A Steer-by-Wire Case Study. IEEE Trans. Dependable Secur. Comput. 17(4): 813-827 (2020) - [j44]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19(6): 43:1-43:29 (2020) - [j43]Huili Chen, Seetal Potluri, Farinaz Koushanfar:
Security of Microfluidic Biochip: Practical Attacks and Countermeasures. ACM Trans. Design Autom. Electr. Syst. 25(3): 27:1-27:29 (2020) - [c145]Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS 2020: 65-67 - [c144]Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar:
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. DAC 2020: 1-6 - [c143]Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota:
Developing Privacy-preserving AI Systems: The Lessons learned. DAC 2020: 1-4 - [c142]Mojan Javaheripi, Huili Chen, Farinaz Koushanfar:
Unified Architectural Support for Secure and Robust Deep Learning. DAC 2020: 1-6 - [c141]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: genetic evolution for acquiring compact AI. GECCO 2020: 350-358 - [c140]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c139]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. ICCAD 2020: 11:1-11:9 - [c138]Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems. INTERSPEECH 2020: 2312-2316 - [c137]Huili Chen, Seetal Potluri, Farinaz Koushanfar:
FlowTrojan: Insertion and Detection of Hardware Trojans on Flow-Based Microfluidic Biochips. NEWCAS 2020: 158-161 - [i48]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. CoRR abs/2002.04971 (2020) - [i47]M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar:
SynFi: Automatic Synthetic Fingerprint Generation. CoRR abs/2002.08900 (2020) - [i46]Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR abs/2002.12749 (2020) - [i45]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: Genetic Evolution for Acquiring Compact AI. CoRR abs/2004.04249 (2020) - [i44]Wayne P. Burleson, Kevin Fu, Denise L. Anthony, Jorge Guajardo, Carl A. Gunter, Kyle Ingols, Jean-Baptiste Jeannin, Farinaz Koushanfar, Carl E. Landwehr, Susan Squires:
Grand Challenges for Embedded Security Research in a Connected World. CoRR abs/2005.06585 (2020) - [i43]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i42]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. CoRR abs/2009.02326 (2020) - [i41]Malhar Jere, Maghav Kumar, Farinaz Koushanfar:
A Singular Value Perspective on Model Robustness. CoRR abs/2012.03516 (2020) - [i40]M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar:
SynFi: Automatic Synthetic Fingerprint Generation. IACR Cryptol. ePrint Arch. 2020: 217 (2020) - [i39]Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. IACR Cryptol. ePrint Arch. 2020: 1181 (2020)
2010 – 2019
- 2019
- [j42]Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
Safe Machine Learning and Defeating Adversarial Attacks. IEEE Secur. Priv. 17(2): 31-38 (2019) - [j41]M. Sadegh Riazi, Bita Darvish Rouhani, Farinaz Koushanfar:
Deep Learning on Private Data. IEEE Secur. Priv. 17(6): 54-63 (2019) - [c136]Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing:
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD 2019: 435-446 - [c135]Bita Darvish Rouhani, Huili Chen, Farinaz Koushanfar:
DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks. ASPLOS 2019: 485-497 - [c134]Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels:
Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms. CCS 2019: 1171-1186 - [c133]Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Succinct Garbled Processor for Secure Computation. DAC 2019: 112 - [c132]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Text Classification Neural Networks. EMNLP/IJCNLP (1) 2019: 5215-5224 - [c131]Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing:
SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM 2019: 190-198 - [c130]Siam U. Hussain, Farinaz Koushanfar:
FASE: FPGA Acceleration of Secure Function Evaluation. FCCM 2019: 280-288 - [c129]Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar, Hao Su, Jishen Zhao:
SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. FCCM 2019: 319 - [c128]M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar:
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. HOST 2019: 198-207 - [c127]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. ICCAD 2019: 1-8 - [c126]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. ICCAD 2019: 1-8 - [c125]Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing:
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD 2019: 1-8 - [c124]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. IJCAI 2019: 4658-4664 - [c123]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH 2019: 481-485 - [c122]Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar:
DeepAttest: an end-to-end attestation framework for deep neural networks. ISCA 2019: 487-498 - [c121]Huili Chen, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models. ICMR 2019: 105-113 - [c120]Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
Coda: An End-to-End Neural Program Decompiler. NeurIPS 2019: 3703-3714 - [c119]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. USENIX Security Symposium 2019: 1501-1518 - [i38]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. CoRR abs/1901.05582 (2019) - [i37]Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar:
Peer-to-peer Federated Learning on Graphs. CoRR abs/1901.11173 (2019) - [i36]Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Succinct Garbled Processor for Secure Computation. CoRR abs/1902.02908 (2019) - [i35]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. CoRR abs/1902.07342 (2019) - [i34]Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks. CoRR abs/1904.00344 (2019) - [i33]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWNet: Small-World Neural Networks and Rapid Convergence. CoRR abs/1904.04862 (2019) - [i32]