Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta | Published: 2023-10-24 | Updated: 2024-05-04
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Authors: Ye Tian, Haolei Weng, Yang Feng | Published: 2023-10-23 | Updated: 2024-06-14
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models
Authors: Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun | Published: 2023-10-23 | Updated: 2023-12-14
On the Detection of Image-Scaling Attacks in Machine Learning
Authors: Erwin Quiring, Andreas Müller, Konrad Rieck | Published: 2023-10-23
Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey
Authors: Zhibo Xing, Zijian Zhang, Jiamou Liu, Ziang Zhang, Meng Li, Liehuang Zhu, Giovanni Russello | Published: 2023-10-23
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Authors: Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark Nejad | Published: 2023-10-23
Competitive Advantage Attacks to Decentralized Federated Learning
Authors: Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong | Published: 2023-10-20
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Authors: Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida | Published: 2023-10-20 | Updated: 2025-05-12
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Authors: Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli | Published: 2023-10-20
Critical Path Prioritization Dashboard for Alert-driven Attack Graphs
Authors: Sònia Leal Díaz, Sergio Pastrana, Azqa Nadeem | Published: 2023-10-19