Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
Authors: Xiang Fang, Wanlong Fang | Published: 2026-05-27
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
Authors: Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Yue Guo, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled | Published: 2026-05-27
Detectability in Diversity: Improved Canary Crafting for Privacy Auditing in One Run
Authors: Mathieu Dagréou, Aurélien Bellet | Published: 2026-05-26
Privacy-Preserving Screening for Record Linkage
Authors: Chenyu Huang, Fan Zhang, Huangxun Chen, Yongjun Zhao, Huaming Rao, Peng Chen, Danqing Huang | Published: 2026-05-26
Cordyceps: Covert Control Attacks on LLMs via Data Poisoning
Authors: Zedian Shao, Charles Fleming, Teodora Baluta | Published: 2026-05-26
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning
Authors: Haodong Zhao, Tianyi Xu, Tianhang Zhao, Zhuosheng Zhang, Gongshen Liu | Published: 2026-05-26
SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?
Authors: Hwiwon Lee, Jiawei Liu, Dongjun Kim, Ziqi Zhang, Chunqiu Steven Xia, Lingming Zhang | Published: 2026-05-26
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
Authors: Kevin Kuo, Chhavi Yadav, Virginia Smith | Published: 2026-05-26
Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation
Authors: David Košťál, Martin Jureček | Published: 2026-05-25
“What is the Problem Space?” Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems
Authors: Miel Verkerken, Laurens D'hooge, Bruno Volckaert, Filip De Turck, Giovanni Apruzzese | Published: 2026-05-25