Paper "adversarial robustness" Papers
13 papers found
Conference
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
Yi Yu, Song Xia, Xun Lin et al.
AAAI 2025paperarXiv:2412.07277
12
citations
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution
Adam Zychowski, Andrew Perrault, Jacek Mańdziuk
AAAI 2025paperarXiv:2412.13762
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Hefei Mei, Minjing Dong, Chang Xu
AAAI 2025paperarXiv:2408.08502
1
citations
Enhancing Robustness in Incremental Learning with Adversarial Training
Seungju Cho, Hongsin Lee, Changick Kim
AAAI 2025paperarXiv:2312.03289
4
citations
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks
Janani Suresh, Nancy Nayak, Sheetal Kalyani
AAAI 2025paperarXiv:2408.11680
1
citations
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
AAAI 2025paperarXiv:2412.14080
1
citations
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Eric Xue, Yijiang Li, Haoyang Liu et al.
AAAI 2025paperarXiv:2403.10045
18
citations
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
Hongbang Yuan, Zhuoran Jin, Pengfei Cao et al.
AAAI 2025paperarXiv:2408.10682
25
citations
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin et al.
AAAI 2024paperarXiv:2310.06958
19
citations
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
Qiyu Kang, Kai Zhao, Yang Song et al.
AAAI 2024paperarXiv:2401.04331
10
citations
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Tao Wu, Tie Luo, D. C. Wunsch
AAAI 2024paperarXiv:2312.13118
7
citations
Lyapunov-Stable Deep Equilibrium Models
Haoyu Chu, Shikui Wei, Ting Liu et al.
AAAI 2024paperarXiv:2304.12707
8
citations
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
Yuansan Liu, Ruqing Zhang, Mingkun Zhang et al.
AAAI 2024paperarXiv:2312.10329
14
citations