Can Open-Source LLM Agents Replace Static Application Security Testing Tools? An Empirical Assessment
Authors: Derek Yohn, Luke Flancher, Mirajul Islam, Khaled Slhoub | Published: 2026-06-10
Dummy Backdoor as a Defense: Removing Unknown Backdoors via Shared Internal Mechanisms for Generative LLMs
Authors: Kazuki Iwahana, Masaru Matsubayashi, Takuma Koyama, Toshiki Shibahara, Kenichiro Omintato, Akira Ito | Published: 2026-06-10
Defense Against Prompt Inversion Attacks: An Information-Theoretic Approach for LLM Collaborative Inference
Authors: Sayedeh Leila Noorbakhsh, Hossein Khalili, Nader Sehatbakhsh | Published: 2026-06-10
Hiding the Trees in the Forest: Building Network Covert Channels with Hash-Based Covert Carrier Filtering
Authors: Zexiao Zou, Zhiqiang Wang, Baoxu Liu, Yuyang Han, Yan Zhang | Published: 2026-06-10
OpenPCC: Open and Confidential LLM Serving on Commodity TEEs
Authors: Haoling Zhou, Shixuan Zhao, Chao Wang, Zhiqiang Lin | Published: 2026-06-09
Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications
Authors: Walther A. Del Orbe, John D. Hastings, Varghese Vaidyan | Published: 2026-06-09
Comparative Analysis of Inference-Time Defense Methods for Multimodal Large Language Models
Authors: Bulat Nutfullin, Vladimir Evgrafov, Dmitry Namiot | Published: 2026-06-09
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation
Authors: Yuchen Ling, Shengcheng Yu, Zhenyu Chen, Chunrong Fang | Published: 2026-06-09
Do LLMsMakeNeural Distinguishers Wise?
Authors: Tatsuya Sakagami, Masashi Hisai, Naoto Yanai | Published: 2026-06-09
Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction
Authors: Lijia Yu, Jiuxin Cao, Yuchen Qiang, Changhao Chen, Yifei Huang, Bo Liu | Published: 2026-06-09