|
Workshop
|
Secure Aggregation for Privacy-Aware Federated Learning with Limited Resources Irem Ergun · Hasin Us Sami · Basak Guler |
||
|
Workshop
|
Efficient Privacy-Preserving Inference for Convolutional Neural Networks Han Xuanyuan · Francisco Vargas · Stephen Cummins |
||
|
Poster
|
Tue 18:30 |
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin |
|
|
Spotlight
|
Tue 18:30 |
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin |
|
|
Poster
|
Wed 10:30 |
Label Leakage and Protection in Two-party Split Learning Oscar Li · Jiankai Sun · Xin Yang · Weihao Gao · Hongyi Zhang · Junyuan Xie · Virginia Smith · Chong Wang |
|
|
Poster
|
Tue 18:30 |
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning Shaopeng Fu · Fengxiang He · Yang Liu · Li Shen · Dacheng Tao |
|
|
Oral
|
Mon 17:30 |
Real-Time Neural Voice Camouflage Mia Chiquier · Chengzhi Mao · Carl Vondrick |
|
|
Poster
|
Wed 10:30 |
Bayesian Framework for Gradient Leakage Mislav Balunovic · Dimitar I. Dimitrov · Robin Staab · Martin Vechev |
|
|
Poster
|
Tue 18:30 |
Differentially Private Fine-tuning of Language Models Da Yu · Saurabh Naik · Arturs Backurs · Sivakanth Gopi · Huseyin Inan · Gautam Kamath · Janardhan Kulkarni · Yin Tat Lee · Andre Manoel · Lukas Wutschitz · Sergey Yekhanin · Huishuai Zhang |
|
|
Workshop
|
Fri 9:00 |
PAIR^2Struct: Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data Hao Wang · Wanyu LIN · Hao He · Di Wang · Chengzhi Mao · Muhan Zhang |
|
|
Poster
|
Thu 18:30 |
Shuffle Private Stochastic Convex Optimization Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng |
|
|
Poster
|
Mon 10:30 |
Real-Time Neural Voice Camouflage Mia Chiquier · Chengzhi Mao · Carl Vondrick |