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ORCIDMario Fritz
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- affiliation: CISPA Helmholtz Center for Information Security, Saarland Informatics Campus, Germany
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2020 – today
- 2023
[i113]Moritz Böhle, Mario Fritz, Bernt Schiele:
Holistically Explainable Vision Transformers. CoRR abs/2301.08669 (2023)- [i112]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR abs/2302.01068 (2023) - [i111]Hossein Hajipour, Thorsten Holz, Lea Schönherr, Mario Fritz:
Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. CoRR abs/2302.04012 (2023) - [i110]Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz:
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR abs/2302.07801 (2023) - [i109]Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. CoRR abs/2302.12173 (2023) - [i108]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - 2022
- [j13]Rakibul Hasan, Mario Fritz:
Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring. Proc. Priv. Enhancing Technol. 2022(2): 245-262 (2022) - [c127]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CHIL 2022: 411-425 - [c126]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CVPR 2022: 10319-10328 - [c125]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CVPR 2022: 14920-14929 - [c124]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR 2022 - [c123]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [c122]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. ICML 2022: 23034-23054 - [c121]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium 2022: 4525-4542 - [e6]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022. ACM 2022, ISBN 978-1-4503-9786-5 [contents] - [i107]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CoRR abs/2202.03758 (2022) - [i106]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CoRR abs/2205.10268 (2022) - [i105]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR abs/2207.05801 (2022) - [i104]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. CoRR abs/2209.03755 (2022) - [i103]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i102]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR abs/2210.04802 (2022) - [i101]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. CoRR abs/2211.04446 (2022) - 2021
- [j12]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. 129(11): 3136-3153 (2021) - [c120]Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. MTD@CCS 2021: 3-12 - [c119]Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS 2021: 193-202 - [c118]Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops 2021: 3281-3289 - [c117]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops 2021: 3300-3309 - [c116]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c115]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR 2021: 7872-7881 - [c114]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR 2021: 10029-10038 - [c113]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c112]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c111]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [c110]Hossein Hajipour
, Apratim Bhattacharyya, Cristian-Alexandru Staicu, Mario Fritz:
SampleFix: Learning to Generate Functionally Diverse Fixes. PKDD/ECML Workshops (2) 2021: 119-133 - [c109]Hossein Hajipour, Mateusz Malinowski, Mario Fritz:
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) 2021: 143-157 - [c108]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. IEEE Symposium on Security and Privacy 2021: 121-140 - [c107]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Future Moment Assessment for Action Query. WACV 2021: 3218-3227 - [e5]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
CSCS '21: Computer Science in Cars Symposium, Ingolstadt, Germany, 30 November 2021. ACM 2021, ISBN 978-1-4503-9139-9 [contents] - [i100]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR abs/2102.02551 (2021) - [i99]Sahar Abdelnabi, Mario Fritz:
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. CoRR abs/2102.05104 (2021) - [i98]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i97]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR abs/2104.00032 (2021) - [i96]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - [i95]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR abs/2106.12442 (2021) - [i94]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
Backdoor Attacks on Network Certification via Data Poisoning. CoRR abs/2108.11299 (2021) - [i93]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR abs/2109.13004 (2021) - [i92]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. CoRR abs/2110.05323 (2021) - [i91]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CoRR abs/2112.00061 (2021) - 2020
- [j11]Thomas Brox, Mario Fritz:
Editor's Note. Int. J. Comput. Vis. 128(4): 969 (2020) - [j10]Hosnieh Sattar, Mario Fritz, Andreas Bulling:
Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations. Neurocomputing 387: 369-382 (2020) - [j9]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 203-220 (2020) - [c106]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS 2020: 343-362 - [c105]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. CCS 2020: 1681-1698 - [c104]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c103]Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CVPR 2020: 9687-9695 - [c102]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR 2020: 15-29 - [c101]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c100]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [c99]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. ECCV Workshops (4) 2020: 320-336 - [c98]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [c97]Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz:
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction. ECCV Workshops (5) 2020: 411-428 - [c96]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) 2020: 489-506 - [c95]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. ECCV (23) 2020: 519-535 - [c94]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR 2020 - [c93]Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz:
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS 2020 - [c92]Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia:
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. IEEE Symposium on Security and Privacy 2020: 318-335 - [c91]Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium 2020: 1291-1308 - [e4]Björn Brücher, Oliver Wasenmüller, Mario Fritz, Hans-Joachim Hof, Christoph Krauß:
CSCS '20: Computer Science in Cars Symposium, Feldkirchen, Germany, December 2, 2020. ACM 2020, ISBN 978-1-4503-7621-1 [contents] - [i90]Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. CoRR abs/2003.00996 (2020) - [i89]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i88]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. CoRR abs/2004.03706 (2020) - [i87]Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR abs/2004.03891 (2020) - [i86]Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CoRR abs/2005.10329 (2020) - [i85]Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz:
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR abs/2006.08265 (2020) - [i84]Hossein Hajipour, Mateusz Malinowski, Mario Fritz:
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR abs/2006.10720 (2020) - [i83]Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. CoRR abs/2007.08457 (2020) - [i82]Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. CoRR abs/2009.00395 (2020) - [i81]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. CoRR abs/2009.03015 (2020) - [i80]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. CoRR abs/2009.08849 (2020) - [i79]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR abs/2009.09878 (2020) - [i78]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CoRR abs/2011.14107 (2020) - [i77]Yang He, Maximilian Zenk, Mario Fritz:
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning. CoRR abs/2012.08241 (2020) - [i76]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR abs/2012.08726 (2020)
2010 – 2019
- 2019
- [j8]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 162-175 (2019) - [c90]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR 2019: 4954-4963 - [c89]Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. CVPR 2019: 8218-8226 - [c88]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Time-Conditioned Action Anticipation in One Shot. CVPR 2019: 9925-9934 - [c87]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV 2019: 7555-7565 - [c86]Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz:
Deep Appearance Maps. ICCV 2019: 8728-8737 - [c85]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) 2019 - [c84]Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS 2019 - [c83]Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. WACV 2019: 968-977 - [p4]Seong Joon Oh, Bernt Schiele, Mario Fritz:
Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI 2019: 121-144 - [e3]Hans-Joachim Hof, Mario Fritz, Christoph Krauß, Oliver Wasenmüller:
ACM Computer Science in Cars Symposium, German Research Center for Artificial Intelligence, Kaiserslautern, Germany, October 8, 2019. ACM 2019, ISBN 978-1-4503-7004-2 [contents] - [e2]Thomas Brox, Andrés Bruhn, Mario Fritz:
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings. Lecture Notes in Computer Science 11269, Springer 2019, ISBN 978-3-030-12938-5 [contents] - [i75]Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR abs/1904.01067 (2019) - [i74]Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz:
Learning Manipulation under Physics Constraints with Visual Perception. CoRR abs/1904.09860 (2019) - [i73]Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz:
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. CoRR abs/1905.11503 (2019) - [i72]Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz:
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. CoRR abs/1906.10502 (2019) - [i71]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR abs/1906.10908 (2019) - [i70]Max Maria Losch, Mario Fritz, Bernt Schiele:
Interpretability Beyond Classification Output: Semantic Bottleneck Networks. CoRR abs/1907.10882 (2019) - [i69]Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR abs/1908.09008 (2019) - [i68]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
WhiteNet: Phishing Website Detection by Visual Whitelists. CoRR abs/1909.00300 (2019) - [i67]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR abs/1909.03935 (2019) - [i66]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
"Best-of-Many-Samples" Distribution Matching. CoRR abs/1909.12598 (2019) - [i65]Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CoRR abs/1912.07538 (2019) - [i64]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. CoRR abs/1912.09685 (2019) - 2018
- [j7]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018) - [c82]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c81]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c80]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR 2018: 4194-4202 - [c79]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059 - [c78]Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele:
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR 2018: 8466-8475 - [c77]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. CVPR 2018: 8485-8493 - [c76]Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. ECCV (16) 2018: 422-437 - [c75]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - [c74]Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) 2018: 521-537 - [c73]