Contrastive explainable clustering with differential privacy
Authors: Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti | Published: 2024-06-07
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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
$$\mathbf{L^2\cdot M = C^2}$$ Large Language Models are Covert Channels
Authors: Simen Gaure, Stefanos Koffas, Stjepan Picek, Sondre Rønjom | Published: 2024-05-24 | Updated: 2024-10-07
A Simple Solution for Homomorphic Evaluation on Large Intervals
Authors: John Chiang | Published: 2024-05-24
AdjointDEIS: Efficient Gradients for Diffusion Models
Authors: Zander W. Blasingame, Chen Liu | Published: 2024-05-23 | Updated: 2025-01-21