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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
Tue 18:30 Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin
Workshop
Efficient Privacy-Preserving Inference for Convolutional Neural Networks
Han Xuanyuan · Francisco Vargas · Stephen Cummins
Workshop
Secure Aggregation for Privacy-Aware Federated Learning with Limited Resources
Irem Ergun · Hasin Us Sami · Basak Guler
Workshop
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani · Mina Doosti · Elham Kashefi
Poster
Thu 10:30 Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
Lun Wang · Iosif Pinelis · Dawn Song
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
Invited Talk
Tue 9:00 Representation Learning in the Global South: Societal Considerations-Fairness, Safety and Privacy
John Amuasi
Poster
Wed 10:30 Bayesian Framework for Gradient Leakage
Mislav Balunovic · Dimitar I. Dimitrov · Robin Staab · Martin Vechev
Poster
Thu 18:30 Shuffle Private Stochastic Convex Optimization
Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng
Poster
Thu 10:30 Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H Fowl · Jonas Geiping · Wojciech Czaja · Micah Goldblum · Tom Goldstein
Poster
Wed 2:30 On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles