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2020 – today
- 2024
[j12]Daniel Gibert
, Giulio Zizzo, Quan Le, Jordi Planes:
Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. IEEE Access 12: 61152-61162 (2024)- [c11]Lila Bozgeyikli, Evren Bozgeyikli, Ryu Funakoshiya, Quan Le, Kyle Walker, L. Matthew Law, Daniel R. Griffiths, Arne D. Ekstrom, Jonathan Lifshitz:
Insights from the Participatory Design of a Virtual Reality Spatial Navigation Application for Veterans with a History of TBI. VR Workshops 2024: 1005-1006 - [i9]Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes:
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR abs/2402.15267 (2024) - [i8]Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio:
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR abs/2405.00392 (2024) - 2023
- [c10]Daniel Gibert, Giulio Zizzo, Quan Le:
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS 2023: 173-184 - [c9]Daniel Gibert, Giulio Zizzo, Quan Le:
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. ESORICS Workshops (2) 2023: 683-699 - [c8]Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo:
A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. EuroS&P Workshops 2023: 415-426 - [c7]Adrian Byrne, Ivan Caffrey, Quan Le:
Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms. EWAF 2023 - [c6]Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring:
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. NeurIPS 2023 - [i7]Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo:
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. CoRR abs/2306.09925 (2023) - [i6]Daniel Gibert, Giulio Zizzo, Quan Le:
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. CoRR abs/2308.08906 (2023) - [i5]Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring:
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. CoRR abs/2308.12477 (2023) - 2022
- [j11]Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le:
Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Comput. Secur. 113: 102543 (2022) - [j10]Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le:
Fusing feature engineering and deep learning: A case study for malware classification. Expert Syst. Appl. 207: 117957 (2022) - [i4]Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le:
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification. CoRR abs/2206.05735 (2022) - 2021
- [j9]Quan Le, Luis Miralles-Pechuán, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. Digit. Investig. 39: 301308 (2021) - [i3]Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le:
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. CoRR abs/2111.09626 (2021) - 2020
- [c5]Xiaoyu Du, Quan Le, Mark Scanlon:
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. Cyber Security 2020: 1-8 - [i2]Xiaoyu Du, Quan Le, Mark Scanlon:
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. CoRR abs/2012.01972 (2020)
2010 – 2019
- 2019
- [c4]Eoghan Cunningham, Oisín Boydell, Cormac Doherty, Benjamin Roques, Quan Le:
Using Text Classification Methods to Detect Malware. AICS 2019: 95-103 - 2018
- [j8]Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon:
Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. 26 Supplement: S118-S126 (2018) - [i1]Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon:
Deep learning at the shallow end: Malware classification for non-domain experts. CoRR abs/1807.08265 (2018) - 2017
- [j7]Quan Le, Fabian Sievers, Desmond G. Higgins:
Protein multiple sequence alignment benchmarking through secondary structure prediction. Bioinform. 33(9): 1331-1337 (2017)
2000 – 2009
- 2009
- [j6]Sang Hyun Park, Quan Le, Bo-Hun Choi:
An Optical Transimpedance Amplifier Using an Inductive Buffer Stage Technique. IEICE Trans. Commun. 92-B(6): 2239-2242 (2009) - 2008
- [j5]Sang Hyun Park, Mikko Karppinen, Quan Le, Bin Young Yoon:
Burst-mode optical transmitter with DC-coupled burst-enable signal for 2.5-Gb/s GPON system. Microelectron. J. 39(1): 112-116 (2008) - [j4]Anh-Tuan Phan, Jeong-Seon Lee, Vladimir Krizhanovskii, Quan Le, Seok-Kyun Han, Sang-Gug Lee:
Energy-Efficient Low-Complexity CMOS Pulse Generator for Multiband UWB Impulse Radio. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(11): 3552-3563 (2008) - 2007
- [c3]Quan Le, Sang-Gug Lee, Ho-Yong Kang, Sang-Hoon Chang:
A CMOS Burst-Mode TIA with Step AGC and Selective Internally Created Reset for 1.25Gb/s EPON. ISSCC 2007: 50-51 - 2006
- [j3]Quoc-Hoang Duong, Quan Le, Chang-Wan Kim, Sang-Gug Lee:
A 95-dB linear low-power variable gain amplifier. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(8): 1648-1657 (2006) - 2005
- [j2]Yong-Hun Oh, Sang-Gug Lee, Quan Le, Ho-Yong Kang, Tae-Whan Yoo:
A CMOS burst-mode optical transmitter for 1.25-Gb/s ethernet PON applications. IEEE Trans. Circuits Syst. II Express Briefs 52-II(11): 780-783 (2005) - 2004
- [j1]Quan Le, Sang-Gug Lee, Yong-Hun Oh, Ho-Yong Kang, Tae-Whan Yoo:
A burst-mode receiver for 1.25-Gb/s ethernet PON with AGC and internally created reset signal. IEEE J. Solid State Circuits 39(12): 2379-2388 (2004) - [c2]Yong-Hun Oh, Quan Le, Sang-Gug Lee, Nguyen Duy Bien Yen, Ho-Yong Kang, Tae-Whan Yoo:
Burst-mode transmitter for 1.25Gb/s Ethernet PON applications [passive optical networks]. ESSCIRC 2004: 283-286 - 2003
- [c1]Quan Le, Samy Bengio:
Client Dependent GMM-SVM Models for Speaker Verification. ICANN 2003: 443-451
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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