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Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

17 August 2019
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
J. Hopcroft
    AAML
ArXivPDFHTML

Papers citing "Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks"

50 / 284 papers shown
Title
Strong Transferable Adversarial Attacks via Ensembled Asymptotically
  Normal Distribution Learning
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Zhengwei Fang
Rui Wang
Tao Huang
L. Jing
AAML
24
5
0
24 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
42
29
0
15 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks
Enhancing the Self-Universality for Transferable Targeted Attacks
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yueping Jiang
AAML
15
30
0
08 Sep 2022
SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing
JiaCheng Deng
Dong Li
Yan Diqun
Rangding Wang
Zeng Jiaming
AAML
17
0
0
27 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
AAML
24
2
0
18 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search
Blackbox Attacks via Surrogate Ensemble Search
Zikui Cai
Chengyu Song
S. Krishnamurthy
A. Roy-Chowdhury
M. Salman Asif
AAML
14
19
0
07 Aug 2022
Prompt Tuning for Generative Multimodal Pretrained Models
Prompt Tuning for Generative Multimodal Pretrained Models
Han Yang
Junyang Lin
An Yang
Peng Wang
Chang Zhou
Hongxia Yang
VLM
LRM
VPVLM
37
30
0
04 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape
Attacking Adversarial Defences by Smoothing the Loss Landscape
Panagiotis Eustratiadis
Henry Gouk
Da Li
Timothy M. Hospedales
AAML
22
4
0
01 Aug 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Xiaojun Jia
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
27
37
0
18 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Xinwei Liu
Jian Liu
Yang Bai
Jindong Gu
Tao Chen
Xiaojun Jia
Xiaochun Cao
AAML
WIGM
33
26
0
17 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
26
154
0
12 Jul 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
Diversified Adversarial Attacks based on Conjugate Gradient Method
Keiichiro Yamamura
Haruki Sato
Nariaki Tateiwa
Nozomi Hata
Toru Mitsutake
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
14
14
0
20 Jun 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition
  System
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
Jiaming Zhang
Qiaomin Yi
Dongyuan Lu
Jitao Sang
PICV
AAML
CVBM
15
4
0
19 Jun 2022
Towards Adversarial Attack on Vision-Language Pre-training Models
Towards Adversarial Attack on Vision-Language Pre-training Models
Jiaming Zhang
Qiaomin Yi
Jitao Sang
VLM
AAML
24
94
0
19 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark
  Knowledge
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Dingcheng Yang
Zihao Xiao
Wenjian Yu
AAML
33
5
0
16 Jun 2022
Transferable Adversarial Attack based on Integrated Gradients
Transferable Adversarial Attack based on Integrated Gradients
Y. Huang
A. Kong
AAML
35
50
0
26 May 2022
Gradient Aligned Attacks via a Few Queries
Gradient Aligned Attacks via a Few Queries
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
35
0
0
19 May 2022
Improving the Transferability of Adversarial Examples with Restructure
  Embedded Patches
Improving the Transferability of Adversarial Examples with Restructure Embedded Patches
Huipeng Zhou
Yu-an Tan
Yajie Wang
Haoran Lyu
Shan-Hung Wu
Yuan-zhang Li
ViT
19
4
0
27 Apr 2022
Enhancing the Transferability via Feature-Momentum Adversarial Attack
Enhancing the Transferability via Feature-Momentum Adversarial Attack
Xianglong He
Yuezun Li
Haipeng Qu
Junyu Dong
AAML
8
1
0
22 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks
Xuechun Han
Anmin Liu
Yifeng Xiong
Yanbo Fan
Kun He
AAML
35
5
0
06 Apr 2022
Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
45
129
0
31 Mar 2022
Enhancing Transferability of Adversarial Examples with Spatial Momentum
Enhancing Transferability of Adversarial Examples with Spatial Momentum
Guoqiu Wang
Huanqian Yan
Xingxing Wei
AAML
20
9
0
25 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through
  Object-Based Diverse Input
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
Junyoung Byun
Seungju Cho
Myung-Joon Kwon
Heeseon Kim
Changick Kim
AAML
DiffM
23
67
0
17 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Ye Liu
Yaya Cheng
Lianli Gao
Xianglong Liu
Qilong Zhang
Jingkuan Song
AAML
37
57
0
10 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
30
21
0
09 Mar 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via
  Style-robust Makeup Transfer
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
Shengshan Hu
Xiaogeng Liu
Yechao Zhang
Minghui Li
L. Zhang
Hai Jin
Libing Wu
AAML
PICV
31
91
0
07 Mar 2022
Universal Adversarial Examples in Remote Sensing: Methodology and
  Benchmark
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Yonghao Xu
Pedram Ghamisi
AAML
27
71
0
14 Feb 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum
  Changes
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
28
19
0
04 Jan 2022
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
AAML
23
38
0
10 Dec 2021
Learning to Learn Transferable Attack
Learning to Learn Transferable Attack
Shuman Fang
Jie Li
Xianming Lin
Rongrong Ji
AAML
22
21
0
10 Dec 2021
Context-Aware Transfer Attacks for Object Detection
Context-Aware Transfer Attacks for Object Detection
Zikui Cai
Xinxin Xie
Shasha Li
Mingjun Yin
Chengyu Song
S. Krishnamurthy
A. Roy-Chowdhury
M. Salman Asif
AAML
42
28
0
06 Dec 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
18
25
0
27 Nov 2021
Adaptive Perturbation for Adversarial Attack
Adaptive Perturbation for Adversarial Attack
Zheng Yuan
Jie Zhang
Zhaoyan Jiang
Liangliang Li
Shiguang Shan
AAML
27
3
0
27 Nov 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
35
14
0
22 Nov 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud
  Classification
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
Daizong Liu
Wei Hu
3DPC
20
47
0
22 Nov 2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the
  Adversarial Transferability
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
Yifeng Xiong
Jiadong Lin
Min Zhang
J. Hopcroft
Kun He
AAML
42
111
0
21 Nov 2021
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object
  Tracking Trackers
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
Delv Lin
Qi Chen
Chengyu Zhou
Kun He
VOT
AAML
33
1
0
17 Nov 2021
Fast Gradient Non-sign Methods
Fast Gradient Non-sign Methods
Yaya Cheng
Jingkuan Song
Xiaosu Zhu
Qilong Zhang
Lianli Gao
Heng Tao Shen
AAML
24
11
0
25 Oct 2021
Boosting the Transferability of Video Adversarial Examples via Temporal
  Translation
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
AAML
21
31
0
18 Oct 2021
Adversarial Purification through Representation Disentanglement
Adversarial Purification through Representation Disentanglement
Tao Bai
Jun Zhao
Lanqing Guo
B. Wen
AAML
17
1
0
15 Oct 2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural
  Networks
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
Yixiang Wang
Jiqiang Liu
Xiaolin Chang
Jianhua Wang
Ricardo J. Rodríguez
AAML
27
28
0
14 Oct 2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
Xiao Yang
Yinpeng Dong
Wenzhao Xiang
Tianyu Pang
Hang Su
Jun Zhu
AAML
21
4
0
13 Oct 2021
Adversarial Attack across Datasets
Adversarial Attack across Datasets
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Lihong Cao
Cho-Jui Hsieh
AAML
32
3
0
13 Oct 2021
Boosting Fast Adversarial Training with Learnable Adversarial
  Initialization
Boosting Fast Adversarial Training with Learnable Adversarial Initialization
Xiaojun Jia
Yong Zhang
Baoyuan Wu
Jue Wang
Xiaochun Cao
AAML
44
54
0
11 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
17
1
0
07 Oct 2021
RobustART: Benchmarking Robustness on Architecture Design and Training
  Techniques
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Ruihao Gong
Yan Wang
Aishan Liu
Jiakai Wang
...
Xianglong Liu
D. Song
Alan Yuille
Philip Torr
Dacheng Tao
VLM
AAML
26
106
0
11 Sep 2021
Towards Transferable Adversarial Attacks on Vision Transformers
Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei
Jingjing Chen
Micah Goldblum
Zuxuan Wu
Tom Goldstein
Yu-Gang Jiang
ViT
AAML
24
111
0
09 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
15
18
0
05 Sep 2021
Exploring Transferable and Robust Adversarial Perturbation Generation
  from the Perspective of Network Hierarchy
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang
Yuanfang Guo
Ruijie Yang
Yunhong Wang
AAML
17
3
0
16 Aug 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie Zhang
Yunpei Jia
Chuanqi Tan
Tao Xue
Shiguang Shan
AAML
49
78
0
09 Aug 2021
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