Number of items: 18.
Conference or Workshop Item (A Paper)
Abdelnabi, Sahar and Fritz, Mario
(2021)
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding.
Abdelnabi, Sahar and Fritz, Mario
(2021)
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models.
Bhattacharyya, Apratim and Reino, Daniel Olmeda and Fritz, Mario and Schiele, Bernt
(2021)
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.
Böhle, Moritz and Fritz, Mario and Schiele, Bernt
(2021)
Convolutional Dynamic Alignment Networks for Interpretable Classifications.
Hajipour, Hossein and Bhattacharyya, Apratim and Staicu, Cristian-Alexandru and Fritz, Mario
(2021)
SampleFix: Learning to Generate Functionally Diverse Fixes.
Hajipour, Hossein and Bhattacharyya, Apratim and Staicu, Cristian-Alexandru and Fritz, Mario
(2021)
SampleFix: Learning to Generate Functionally Diverse Fixes.
(Submitted)
Hajipour, Hossein and Malinowski, Mateusz and Fritz, Mario
(2021)
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.
Hanzlik, Lucjan and Zhang, Yang and Grosse, Kathrin and Salem, Ahmed and Augustin, Maximilian and Backes, Michael and Fritz, Mario
(2021)
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
He, Yang and Yu, Ning and Keuper, Margret and Fritz, Mario
(2021)
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
Ke, Qiuhong and Fritz, Mario and Schiele, Bernt
(2021)
Future Moment Assessment for Action Query.
Lorenz, Tobias and Ruoss, Anian and Balunović, Mislav and Singh, Gagandeep and Vechev, Martin
(2021)
Robustness Certification for Point Cloud Models.
(In Press)
Rahimian, Shadi and Orekondy, Tribhuvanesh and Fritz, Mario
(2021)
Differential Privacy Defenses and Sampling Attacks for Membership Inference.
Wang, Hui-Po and Orekondy, Tribhuvanesh and Fritz, Mario
(2021)
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.
Wang, Hui-Po and Yu, Ning and Fritz, Mario
(2021)
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
Yu, Ning and Liu, Guilin and Dundar, Aysegul and Tao, Andrew and Catanzaro, Bryan and Davis, Larry and Fritz, Mario
(2021)
Dual Contrastive Loss and Attention for GANs.
Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario
(2021)
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.
Article
Losch, Max and Fritz, Mario and Schiele, Bernt
(2021)
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.
International Journal of Computer Vision (IJCV).
ISSN 1573-1405
Oestreich, Marie and Chen, Dingfan and Schultze, Joachim L. and Fritz, Mario and Becker, Matthias
(2021)
Privacy considerations for sharing genomics data.
EXCLI Journal Eperimental and Clinical Sciences, 20.
pp. 1243-1260.
ISSN 1611-2156
This list was generated on Thu Nov 21 00:47:00 2024 CET.