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2303.10653
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Randomized Adversarial Training via Taylor Expansion
19 March 2023
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
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Papers citing
"Randomized Adversarial Training via Taylor Expansion"
24 / 24 papers shown
Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
98
0
0
20 Apr 2025
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
118
0
0
09 Mar 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
32
0
0
31 Dec 2024
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
21
0
0
19 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
25
1
0
14 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES
Jonathan Weiping Li
Ren-Wei Liang
Cheng-Han Yeh
Cheng-Chang Tsai
Kuanchun Yu
Chun-Shien Lu
Shang-Tse Chen
AAML
36
0
0
10 Oct 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models
Qiao Li
Cong Wu
Jing Chen
Zijun Zhang
Kun He
Ruiying Du
Xinxin Wang
Qingchuang Zhao
Yang Liu
AAML
50
5
0
20 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
21
1
0
31 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
52
0
0
04 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
35
2
0
26 Jun 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
Wanqi Zhou
Shuanghao Bai
Qibin Zhao
Badong Chen
VLM
AAML
39
5
0
30 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape
Tiejin Chen
Wenwang Huang
Linsey Pang
Dongsheng Luo
Hua Wei
OOD
31
0
0
09 Mar 2024
Towards Fairness-Aware Adversarial Learning
Yanghao Zhang
Tianle Zhang
Ronghui Mu
Xiaowei Huang
Wenjie Ruan
24
4
0
27 Feb 2024
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Mingda Zhang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
27
14
0
13 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
Qian Li
Yuxiao Hu
Yinpeng Dong
Dong-juan Zhang
Yuntian Chen
AAML
19
3
0
12 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning
Ronghui Mu
Leandro Soriano Marcolino
Tianle Zhang
Yanghao Zhang
Xiaowei Huang
Wenjie Ruan
15
4
0
11 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
48
2
0
06 Dec 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
Liang Zhang
Nathaniel Xu
Pengfei Yang
Gao Jin
Cheng-Chao Huang
Lijun Zhang
21
8
0
11 Aug 2023
Post-train Black-box Defense via Bayesian Boundary Correction
He-Nan Wang
Yunfeng Diao
AAML
31
1
0
29 Jun 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
Wei Huang
Xingyu Zhao
Gao Jin
Xiaowei Huang
AAML
17
28
0
19 Aug 2022
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
151
113
0
05 Mar 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
124
102
0
17 Oct 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
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