A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks
Authors: Adam Swanda, Amy Chang, Alexander Chen, Fraser Burch, Paul Kassianik, Konstantin Berlin | Published: 2025-09-25
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
Authors: Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta | Published: 2025-09-24
Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
Authors: Xiaofan Li, Xing Gao | Published: 2025-09-24
STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation
Authors: Tanmay Khule, Stefan Marksteiner, Jose Alguindigue, Hannes Fuchs, Sebastian Fischmeister, Apurva Narayan | Published: 2025-09-24
CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Authors: Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe | Published: 2025-09-24
AIは“だまし絵”に弱い？敵対的サンプルとその対策：敵対的学習
AIは私たちの生活のさまざまな場面で使われていますが、実はちょっとした“だまし絵”に引っかかってしまうことがあります。人間には気づきにくいけれど、AIが間違えやすいように細工された“だまし絵”のようなデータを「敵対的サンプル」と呼びます。
Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
Authors: Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt, Adamu Gaston Philipo, Huansheng Ning | Published: 2025-09-24 | Updated: 2025-09-30
bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs
Authors: Wence Ji, Jiancan Wu, Aiying Li, Shuyi Zhang, Junkang Wu, An Zhang, Xiang Wang, Xiangnan He | Published: 2025-09-24
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Authors: Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang, Dongwon Lee | Published: 2025-09-24
Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Authors: Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen | Published: 2025-09-23 | Updated: 2025-10-15