Unlearnable Algorithms for In-context Learning
Authors: Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot | Published: 2024-02-01
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
Authors: Ran Elgedawy, John Sadik, Senjuti Dutta, Anuj Gautam, Konstantinos Georgiou, Farzin Gholamrezae, Fujiao Ji, Kyungchan Lim, Qian Liu, Scott Ruoti | Published: 2024-02-01
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
Authors: Aku Kammonen, Lisi Liang, Anamika Pandey, Raúl Tempone | Published: 2024-02-01
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Authors: Hamed Poursiami, Ihsen Alouani, Maryam Parsa | Published: 2024-02-01 | Updated: 2024-05-07
opML: Optimistic Machine Learning on Blockchain
Authors: KD Conway, Cathie So, Xiaohang Yu, Kartin Wong | Published: 2024-01-31 | Updated: 2024-02-05
Game-Theoretic Unlearnable Example Generator
Authors: Shuang Liu, Yihan Wang, Xiao-Shan Gao | Published: 2024-01-31
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Authors: Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman | Published: 2024-01-30 | Updated: 2024-04-12
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
Authors: Jie Li, Yi Liu, Chongyang Liu, Ling Shi, Xiaoning Ren, Yaowen Zheng, Yang Liu, Yinxing Xue | Published: 2024-01-30
Data-Oblivious ML Accelerators using Hardware Security Extensions
Authors: Hossam ElAtali, John Z. Jekel, Lachlan J. Gunn, N. Asokan | Published: 2024-01-29
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs’ Vulnerability Reasoning
Authors: Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Wei Ma, Lyuye Zhang, Yang Liu, Yingjiu Li | Published: 2024-01-29 | Updated: 2025-01-13