CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
Authors: Xiaohu Li, Yunfeng Ning, Zepeng Bao, Mayi Xu, Jianhao Chen, Tieyun Qian | Published: 2025-07-08
Defense Effectiveness Analysis
TSA-WF: Exploring the Effectiveness of Time Series Analysis for Website Fingerprinting
Authors: Michael Wrana, Uzma Maroof, Diogo Barradas | Published: 2025-05-20
Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions
Authors: Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao | Published: 2025-03-23
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Authors: Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin | Published: 2022-06-11
Membership Inference Attack on Graph Neural Networks
Authors: Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla | Published: 2021-01-17 | Updated: 2021-12-18
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Authors: Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider | Published: 2021-01-06 | Updated: 2023-08-05
On the Effectiveness of Regularization Against Membership Inference Attacks
Authors: Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras | Published: 2020-06-09
Tricking Adversarial Attacks To Fail
Authors: Blerta Lindqvist | Published: 2020-06-08
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
Authors: Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan | Published: 2020-06-02
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
Authors: Kyungmi Lee, Anantha P. Chandrakasan | Published: 2020-06-01