Transferable Availability Poisoning Attacks
Authors: Yiyong Liu, Michael Backes, Xiao Zhang | Published: 2023-10-08 | Updated: 2024-06-06
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
Authors: Sunpreet Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu, Hao Yang, Mahdi Zamani | Published: 2023-10-06
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning
Authors: Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura Freeman, Jeremy Werner | Published: 2023-10-06 | Updated: 2023-12-04
Risk factor aggregation and stress testing
Authors: Natalie Packham | Published: 2023-10-06
Assessing Robustness via Score-Based Adversarial Image Generation
Authors: Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann | Published: 2023-10-06
Threat Trekker: An Approach to Cyber Threat Hunting
Authors: Ángel Casanova Bienzobas, Alfonso Sánchez-Macián | Published: 2023-10-06
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Authors: Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson | Published: 2023-10-05
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Authors: Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas | Published: 2023-10-05 | Updated: 2024-06-11
The Anatomy of Deception: Technical and Human Perspectives on a Large-scale Phishing Campaign
Authors: Anargyros Chrysanthou, Yorgos Pantis, Constantinos Patsakis | Published: 2023-10-05
Misusing Tools in Large Language Models With Visual Adversarial Examples
Authors: Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes | Published: 2023-10-04