Robust Distribution Learning with Local and Global Adversarial Corruptions
Authors: Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee | Published: 2024-06-10 | Updated: 2024-06-24
ウォーターマーキング
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Authors: Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis | Published: 2024-06-09 | Updated: 2024-09-07
GENIE: Watermarking Graph Neural Networks for Link Prediction
Authors: Venkata Sai Pranav Bachina, Ankit Gangwal, Aaryan Ajay Sharma, Charu Sharma | Published: 2024-06-07 | Updated: 2025-01-12
Contrastive explainable clustering with differential privacy
Authors: Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti | Published: 2024-06-07
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Authors: Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang | Published: 2024-06-03
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Authors: Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello | Published: 2024-06-03
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Authors: Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal | Published: 2024-06-02 | Updated: 2025-03-31
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
Authors: Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin | Published: 2024-05-31 | Updated: 2024-06-05
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
Authors: Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch, Gregory Pottie | Published: 2024-05-28 | Updated: 2024-06-02