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Curriculum Adversarial Training

Curriculum Adversarial Training

13 May 2018
Qi-Zhi Cai
Min Du
Chang-rui Liu
D. Song
    AAML
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Papers citing "Curriculum Adversarial Training"

25 / 25 papers shown
Title
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
48
2
0
27 May 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
23
0
0
26 Jan 2024
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from
  a Minimax Game Perspective
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
23
11
0
30 Oct 2023
Less is More: Data Pruning for Faster Adversarial Training
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
X. Lin
B. Kailkhura
Ryan Goldh
AAML
15
9
0
23 Feb 2023
Beckman Defense
Beckman Defense
A. V. Subramanyam
OOD
AAML
34
0
0
04 Jan 2023
Strength-Adaptive Adversarial Training
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Mingming Gong
Nannan Wang
Tongliang Liu
OOD
17
2
0
04 Oct 2022
Analysis and Extensions of Adversarial Training for Video Classification
Analysis and Extensions of Adversarial Training for Video Classification
K. A. Kinfu
René Vidal
AAML
27
13
0
16 Jun 2022
CE-based white-box adversarial attacks will not work using super-fitting
CE-based white-box adversarial attacks will not work using super-fitting
Youhuan Yang
Lei Sun
Leyu Dai
Song Guo
Xiuqing Mao
Xiaoqin Wang
Bayi Xu
AAML
24
0
0
04 May 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
LAS-AT: Adversarial Training with Learnable Attack Strategy
Xiaojun Jia
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
47
131
0
13 Mar 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTA
AAML
19
3
0
01 Dec 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with
  Minimal Information
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng
Peipei Jiang
Qian Wang
Qi Li
Chao Shen
Cong Wang
Yunjie Ge
Qingyang Teng
Shenyi Zhang
AAML
13
69
0
19 Oct 2021
Neural Architecture Dilation for Adversarial Robustness
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li
Zhaohui Yang
Yunhe Wang
Chang Xu
AAML
27
23
0
16 Aug 2021
Style Curriculum Learning for Robust Medical Image Segmentation
Style Curriculum Learning for Robust Medical Image Segmentation
Zhendong Liu
Van Manh
Xin Yang
Xiaoqiong Huang
Karim Lekadir
Víctor M. Campello
Nishant Ravikumar
Alejandro F Frangi
Dong Ni
OOD
18
17
0
01 Aug 2021
Towards Robust General Medical Image Segmentation
Towards Robust General Medical Image Segmentation
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
23
25
0
09 Jul 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Lee Wang
Yanghao Zhang
Yanbin Zheng
Wenjie Ruan
23
1
0
04 Mar 2021
Guided Interpolation for Adversarial Training
Guided Interpolation for Adversarial Training
Chen Chen
Jingfeng Zhang
Xilie Xu
Tianlei Hu
Gang Niu
Gang Chen
Masashi Sugiyama
AAML
19
10
0
15 Feb 2021
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial
  Training
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis
Jay Roberts
AAML
14
11
0
22 Dec 2020
Geometry-aware Instance-reweighted Adversarial Training
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
28
269
0
05 Oct 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
18
18
0
19 May 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
22
396
0
26 Feb 2020
Efficient Adversarial Training with Transferable Adversarial Examples
Efficient Adversarial Training with Transferable Adversarial Examples
Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
A. Prakash
AAML
22
107
0
27 Dec 2019
Defending Against Physically Realizable Attacks on Image Classification
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
AAML
14
125
0
20 Sep 2019
Adversarial Defense based on Structure-to-Signal Autoencoders
Adversarial Defense based on Structure-to-Signal Autoencoders
Joachim Folz
Sebastián M. Palacio
Jörn Hees
Damian Borth
Andreas Dengel
AAML
23
31
0
21 Mar 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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