Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Authors: Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang | Published: 2025-04-16
防御手法の効果分析
STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models
Authors: Xunguang Wang, Wenxuan Wang, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang | Published: 2025-03-23
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Authors: Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri | Published: 2020-04-26
Minimax Defense against Gradient-based Adversarial Attacks
Authors: Blerta Lindqvist, Rauf Izmailov | Published: 2020-02-04
Defending Adversarial Attacks via Semantic Feature Manipulation
Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Authors: Rehana Mahfuz, Rajeev Sahay, Aly El Gamal | Published: 2020-01-26
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
Authors: Ying Meng, Jianhai Su, Jason O'Kane, Pooyan Jamshidi | Published: 2020-01-02 | Updated: 2020-10-16
Benchmarking Adversarial Robustness
Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu | Published: 2019-12-26
Explainability and Adversarial Robustness for RNNs
Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Authors: Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru | Published: 2019-12-03 | Updated: 2020-02-07