Observational Auditing of Label Privacy
Authors: Iden Kalemaj, Luca Melis, Maxime Boucher, Ilya Mironov, Saeed Mahloujifar | Published: 2025-11-18
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GRPO Privacy Is at Risk: A Membership Inference Attack Against Reinforcement Learning With Verifiable Rewards
Authors: Yule Liu, Heyi Zhang, Jinyi Zheng, Zhen Sun, Zifan Peng, Tianshuo Cong, Yilong Yang, Xinlei He, Zhuo Ma | Published: 2025-11-18
Robust Client-Server Watermarking for Split Federated Learning
Authors: Jiaxiong Tang, Zhengchunmin Dai, Liantao Wu, Peng Sun, Honglong Chen, Zhenfu Cao | Published: 2025-11-17
Tight and Practical Privacy Auditing for Differentially Private In-Context Learning
Authors: Yuyang Xia, Ruixuan Liu, Li Xiong | Published: 2025-11-17
Whistledown: Combining User-Level Privacy with Conversational Coherence in LLMs
Authors: Chelsea McMurray, Hayder Tirmazi | Published: 2025-11-17
DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents
Authors: Fuyao Zhang, Jiaming Zhang, Che Wang, Xiongtao Sun, Yurong Hao, Guowei Guan, Wenjie Li, Longtao Huang, Wei Yang Bryan Lim | Published: 2025-11-17
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
Authors: Xuankun Rong, Wenke Huang, Tingfeng Wang, Daiguo Zhou, Bo Du, Mang Ye | Published: 2025-11-17
DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
Authors: Honghui Xu, Shiva Shrestha, Wei Chen, Zhiyuan Li, Zhipeng Cai | Published: 2025-09-11
Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
Authors: Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu | Published: 2025-09-11
Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Authors: Mayar Elfares, Pascal Reisert, Ralf Küsters, Andreas Bulling | Published: 2025-07-01 | Updated: 2025-09-10