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19 Results

Poster
Mon 1:00 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Sitan Chen, Xiaoxiao Li, Zhao Song, Danyang Zhuo
Poster
Mon 1:00 WaNet - Imperceptible Warping-based Backdoor Attack
Tuan Anh Nguyen, Anh T Tran
Poster
Mon 9:00 Teaching Temporal Logics to Neural Networks
Christopher Hahn, Frederik Schmitt, Jens Kreber, Markus Rabe, Bernd Finkbeiner
Spotlight
Mon 20:38 Information Laundering for Model Privacy
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Tue 9:00 How to shine in your technical presentation
Poster
Tue 17:00 Information Laundering for Model Privacy
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Poster
Wed 9:00 Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping, Liam H Fowl, Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
Poster
Wed 17:00 Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa, Atul Prakash, Moinuddin K Qureshi
Poster
Thu 1:00 R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew Blaschko
Poster
Thu 9:00 CaPC Learning: Confidential and Private Collaborative Learning
Christopher Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
Poster
Thu 17:00 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitch Hill, Jonathan Mitchell, Song-Chun Zhu
Workshop
Fri 7:00 Synthetic Data Generation: Quality, Privacy, Bias
Sergul Aydore, Krishnaram Kenthapadi, Haipeng Chen, Edward Choi, Jamie Hayes, Mario Fritz, Rachel Cummings, Krishnaram Kenthapadi
Workshop
Fri 8:45 Security and Safety in Machine Learning Systems
Xinyun Chen, Cihang Xie, Ali Shafahi, Bo Li, Ding Zhao, Tom Goldstein, Dawn Song
Workshop
Fri 9:40 Inference Risks for Machine Learning
David Evans
Workshop
Fri 13:20 Discussion Panel by All invited speakers
Mario Fritz
Workshop
MPCLeague: Robust 4-party Computation for Privacy-Preserving Machine Learning
Nishat Koti, Arpita Patra, Ajith Suresh
Workshop
Privacy and Integrity Preserving Training Using Trusted Hardware
Seyedeh Hanieh Hashemi, Yongqin Wang, Murali Annavaram
Workshop
Towards Causal Federated Learning - For enhanced robustness and privacy
Sreya Francis
Workshop
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh