Detecting Language Model Attacks with Perplexity
Authors: Gabriel Alon, Michael Kamfonas | Published: 2023-08-27 | Updated: 2023-11-07
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Authors: Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen | Published: 2023-08-26 | Updated: 2023-10-14
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Authors: Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng | Published: 2023-08-26
Active learning for fast and slow modeling attacks on Arbiter PUFs
Authors: Vincent Dumoulin, Wenjing Rao, Natasha Devroye | Published: 2023-08-25
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
Authors: M. Caner Tol, Berk Sunar | Published: 2023-08-24
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Authors: Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin | Published: 2023-08-24
Vulnerability Clustering and other Machine Learning Applications of Semantic Vulnerability Embeddings
Authors: Mark-Oliver Stehr, Minyoung Kim | Published: 2023-08-23
Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Authors: Fredrik Heiding, Bruce Schneier, Arun Vishwanath, Jeremy Bernstein, Peter S. Park | Published: 2023-08-23 | Updated: 2023-11-30
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Authors: Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa | Published: 2023-08-23 | Updated: 2024-06-16
Unsupervised anomalies detection in IIoT edge devices networks using federated learning
Authors: Niyomukiza Thamar, Hossam Samy Elsaid Sharara | Published: 2023-08-23