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
Generative Model
Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
Authors: Andy Zhou, Ron Arel | Published: 2025-03-13 | Updated: 2025-05-21
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Authors: Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong | Published: 2025-03-06 | Updated: 2025-03-15
Cost-Effective Hallucination Detection for LLMs
Authors: Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang | Published: 2024-07-31 | Updated: 2024-08-09
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Authors: Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li | Published: 2022-07-25
Generative Models for Security: Attacks, Defenses, and Opportunities
Authors: Luke A. Bauer, Vincent Bindschaedler | Published: 2021-07-21 | Updated: 2021-07-29
PassFlow: Guessing Passwords with Generative Flows
Authors: Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini | Published: 2021-05-13 | Updated: 2021-12-14
Improving Query Efficiency of Black-box Adversarial Attack
Authors: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo | Published: 2020-09-24 | Updated: 2020-09-25
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
Authors: Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang | Published: 2020-09-23
Semantics-Preserving Adversarial Training
Authors: Wonseok Lee, Hanbit Lee, Sang-goo Lee | Published: 2020-09-23