Low-Cost High-Power Membership Inference Attacks
Authors: Sajjad Zarifzadeh, Philippe Liu, Reza Shokri | Published: 2023-12-06 | Updated: 2024-06-12
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
Authors: Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang | Published: 2023-12-06
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann | Published: 2023-12-05 | Updated: 2024-01-15
When PETs misbehave: A Contextual Integrity analysis
Authors: Ero Balsa, Yan Shvartzshnaider | Published: 2023-12-05
Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
Authors: Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Son Pham Bao, Eryk Dutkiewicz | Published: 2023-12-05
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks
Authors: Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen | Published: 2023-12-04
Hot PATE: Private Aggregation of Distributions for Diverse Task
Authors: Edith Cohen, Benjamin Cohen-Wang, Xin Lyu, Jelani Nelson, Tamas Sarlos, Uri Stemmer | Published: 2023-12-04 | Updated: 2024-05-17
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Authors: Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi | Published: 2023-12-04 | Updated: 2024-10-31
Intrusion Detection System with Machine Learning and Multiple Datasets
Authors: Haiyan Xuan, Mohith Manohar | Published: 2023-12-04
Rethinking PGD Attack: Is Sign Function Necessary?
Authors: Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang | Published: 2023-12-03 | Updated: 2024-05-21