Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization
Authors: Chengcan Wu, Zhixin Zhang, Zeming Wei, Yihao Zhang, Meng Sun | Published: 2025-05-22
Adversarial Learning
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Authors: Hossein Khalili, Seongbin Park, Venkat Bollapragada, Nader Sehatbakhsh | Published: 2025-05-22
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Authors: Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki | Published: 2025-05-20
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Authors: Elias Collaert, Abel Rodríguez, Sander Joos, Lieven Desmet, Vera Rimmer | Published: 2025-05-19
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Authors: Mostafa Jafari, Alireza Shameli-Sendi | Published: 2025-05-14
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
Authors: Zihan Wang, Hongwei Li, Rui Zhang, Wenbo Jiang, Kangjie Chen, Tianwei Zhang, Qingchuan Zhao, Guowen Xu | Published: 2025-05-06
Bayesian Robust Aggregation for Federated Learning
Authors: Aleksandr Karakulev, Usama Zafar, Salman Toor, Prashant Singh | Published: 2025-05-05
How to Backdoor the Knowledge Distillation
Authors: Chen Wu, Qian Ma, Prasenjit Mitra, Sencun Zhu | Published: 2025-04-30
GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security
Authors: Xiangkun Wang, Kejiang Chen, Yuang Qi, Ruiheng Liu, Weiming Zhang, Nenghai Yu | Published: 2025-04-21
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
Authors: Philip Doldo, Derek Everett, Amol Khanna, Andre T Nguyen, Edward Raff | Published: 2025-03-25