A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
Authors: Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira | Published: 2023-10-18
A General Theoretical Paradigm to Understand Learning from Human Preferences
Authors: Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, Daniel Guo, Daniele Calandriello, Michal Valko, Rémi Munos | Published: 2023-10-18 | Updated: 2023-11-22
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers
Authors: Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt | Published: 2023-10-18
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
Authors: Kahraman Kostas, Mike Just, Michael A. Lones | Published: 2023-10-17
The Efficacy of Transformer-based Adversarial Attacks in Security Domains
Authors: Kunyang Li, Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel | Published: 2023-10-17
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Authors: Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi | Published: 2023-10-17
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
Authors: Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem | Published: 2023-10-17
Privacy-Preserving Graph Embedding based on Local Differential Privacy
Authors: Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang | Published: 2023-10-17 | Updated: 2024-08-04
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Authors: Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael Abu-Ghazaleh | Published: 2023-10-16
Regularization properties of adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön | Published: 2023-10-16