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25 Results
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Workshop
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Secure Aggregation for Privacy-Aware Federated Learning with Limited Resources Irem Ergun · Hasin Us Sami · Basak Guler |
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Spotlight
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Tue 18:30 |
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin |
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Workshop
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Efficient Privacy-Preserving Inference for Convolutional Neural Networks Han Xuanyuan · Francisco Vargas · Stephen Cummins |
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Poster
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Tue 18:30 |
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin |
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Poster
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Thu 2:30 |
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno |
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Poster
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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 |
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Workshop
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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 |
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Poster
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Thu 18:30 |
Shuffle Private Stochastic Convex Optimization Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng |
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Poster
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Tue 18:30 |
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning Shaopeng Fu · Fengxiang He · Yang Liu · Li Shen · Dacheng Tao |
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Invited Talk
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Tue 9:00 |
Representation Learning in the Global South: Societal Considerations-Fairness, Safety and Privacy John Amuasi |
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Poster
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Wed 10:30 |
Bayesian Framework for Gradient Leakage Mislav Balunovic · Dimitar I. Dimitrov · Robin Staab · Martin Vechev |
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Poster
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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 |