On the Steganographic Capacity of Selected Learning Models
Authors: Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang, Mark Stamp | Published: 2023-08-29
Gender bias and stereotypes in Large Language Models
Authors: Hadas Kotek, Rikker Dockum, David Q. Sun | Published: 2023-08-28
Generating tabular datasets under differential privacy
Authors: Gianluca Truda | Published: 2023-08-28
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Authors: Andrea Corsini, Shanchieh Jay Yang | Published: 2023-08-28
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