我的随笔

【五期李伟平】（IOTJ'19）Incentive_Mechanism_for_Reliable_Federated_Learning_A_Joint_Optimization_Approach_to_Combining_Reputation_and_Contract_Theory

方班隐私保护小组 2022-11-10 16:54 阅读:116 评论:0 推荐:0

【五期邹昱夫】 CCF-A(SP'22)Property Inference from Poisoning.

方班隐私保护小组 2022-11-10 16:32 阅读:230 评论:0 推荐:0

【五期邵润东】CCF-A(ICML'20) Task-aware Privacy Preservation for Multi-dimensional Data

方班隐私保护小组 2022-11-08 21:02 阅读:105 评论:0 推荐:0

【五期杨志】CCF-A(NeurIPS'20) Self-supervised Multimodal Versatile Networks

方班隐私保护小组 2022-10-31 23:41 阅读:115 评论:0 推荐:0

【四期陶富强】CCF-A(AAAI 20)Federated learning for vision-and-language grounding problems.

方班隐私保护小组 2022-10-12 21:15 阅读:121 评论:0 推荐:0

【孙哲】CCF-A, （TPDS'20）Towards Fair and Privacy-Preserving Federated Deep Models

方班隐私保护小组 2022-10-12 16:42 阅读:146 评论:0 推荐:0

【三期胡宇】CCF-A(S&P'19) Comprehensive Privacy Analysis of Deep Learning :Passive and Active White-box Inference Attacks against Centralized and Federated Learning

方班隐私保护小组 2020-12-04 22:27 阅读:620 评论:0 推荐:0

【三期操志强】CCF-A(USENIX SS'20)Local model poisoning attacks to Byzantine-robust federated learning.

方班隐私保护小组 2020-11-27 14:26 阅读:120 评论:0 推荐:0

【三期胡宇】CCF-A(KDD'20)TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations

方班隐私保护小组 2020-11-22 19:21 阅读:230 评论:0 推荐:0

【三期操志强】CCF-C(AISTATS'20)How to backdoor federated learning.

方班隐私保护小组 2020-11-20 08:29 阅读:90 评论:0 推荐:0