Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
Authors: S M Rakib Hasan, Aakar Dhakal | Published: 2024-04-03
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Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion | Published: 2024-04-02 | Updated: 2024-10-07
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
Authors: Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan | Published: 2024-04-02
What is in Your Safe Data? Identifying Benign Data that Breaks Safety
Authors: Luxi He, Mengzhou Xia, Peter Henderson | Published: 2024-04-01 | Updated: 2024-08-20
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
Authors: Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Hengbo Tong, Swarna Das, Earl T. Barr, Wei Le | Published: 2024-03-25 | Updated: 2025-01-07
Defending Against Indirect Prompt Injection Attacks With Spotlighting
Authors: Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman | Published: 2024-03-20
Leveraging Large Language Models to Detect npm Malicious Packages
Authors: Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie Williams | Published: 2024-03-18 | Updated: 2025-01-06
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention
Authors: Ellie Prosser, Matthew Edwards | Published: 2024-03-14
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Authors: Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao | Published: 2024-03-14
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
Authors: Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma | Published: 2024-03-12 | Updated: 2024-09-14