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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
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A
  Comprehensive Framework for Gradient Editing
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
34
0
0
22 Aug 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Cong Wan
Yuhang He
Xiang Song
Yihong Gong
DiffM
AAML
37
7
0
20 Aug 2024
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
Zhongliang Guo
Lei Fang
Jingyu Lin
Yifei Qian
Shuai Zhao
Zeyu Wang
Zeyu Wang
Cunjian Chen
Ognjen Arandjelović
Chun Pong Lau
DiffM
AAML
40
6
0
20 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen
Zhou Feng
Rui Zeng
Yuwen Pu
Chunyi Zhou
Yi Jiang
Yuyou Gan
Jinbao Li
Shouling Ji
AAML
40
0
0
18 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
43
1
0
14 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
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
36
1
0
31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on
  Attention Shift
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Qingyuan Zeng
Yunpeng Gong
Min Jiang
AAML
32
2
0
18 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via
  Generalized Latent Infection
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun
Shengming Yuan
Xuanhan Wang
Lianli Gao
Jingkuan Song
AAML
29
2
0
17 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
68
4
0
14 Jul 2024
Boosting Adversarial Transferability for Skeleton-based Action
  Recognition via Exploring the Model Posterior Space
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space
Yunfeng Diao
Baiqi Wu
Ruixuan Zhang
Xun Yang
Meng Wang
He Wang
29
0
0
11 Jul 2024
Improving the Transferability of Adversarial Examples by Feature
  Augmentation
Improving the Transferability of Adversarial Examples by Feature Augmentation
Donghua Wang
Wen Yao
Tingsong Jiang
Xiaohu Zheng
Junqi Wu
Xiaoqian Chen
AAML
53
0
0
09 Jul 2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial
  Attack Transferability
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying
Qianmu Li
Tao Wang
Zhichao Lian
Shunmei Meng
Xuyun Zhang
33
0
0
02 Jul 2024
DMS: Addressing Information Loss with More Steps for Pragmatic
  Adversarial Attacks
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu
Jiayu Zhang
Xinyi Wang
Zhibo Jin
Huaming Chen
AAML
44
1
0
09 Jun 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
34
6
0
08 Jun 2024
Enhancing Adversarial Transferability via Information Bottleneck
  Constraints
Enhancing Adversarial Transferability via Information Bottleneck Constraints
Biqing Qi
Junqi Gao
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
29
2
0
08 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via
  Hierarchical Disentangled Feature Space in Cross-Domain
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Jun Liu
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
Zheng Li
37
0
0
05 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
34
1
0
04 Jun 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial
  Transferability across Multimodal Large Language Models
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models
Hao-Ran Cheng
Erjia Xiao
Jiahang Cao
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
AAML
64
7
0
30 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
35
3
0
29 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional
  Sampling
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling
Chunlin Qiu
Yiheng Duan
Lingchen Zhao
Qian Wang
AAML
40
2
0
25 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving
  with Typography
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
N. Chung
Sensen Gao
Tuan-Anh Vu
Jie M. Zhang
Aishan Liu
Yun Lin
Jin Song Dong
Qi Guo
AAML
37
10
0
23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
39
14
0
23 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit
  Calibration and Truncated Feature Mixing
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
36
0
0
10 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained
  Models
Universal Adversarial Perturbations for Vision-Language Pre-trained Models
Pengfei Zhang
Zi Huang
Guangdong Bai
AAML
39
11
0
09 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
39
1
0
06 May 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via
  Principal Adversarial Domain Adaptation
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng
Yun-an Wang
Ruijie Yang
Beichen Li
Rui Wang
Yuanfang Guo
AAML
43
0
0
19 Apr 2024
Practical Region-level Attack against Segment Anything Models
Practical Region-level Attack against Segment Anything Models
Yifan Shen
Zhengyuan Li
Gang Wang
VLM
38
9
0
12 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAML
OOD
43
7
0
04 Apr 2024
Unsegment Anything by Simulating Deformation
Unsegment Anything by Simulating Deformation
Jiahao Lu
Xingyi Yang
Xinchao Wang
36
4
0
03 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with
  Universal Perturbation
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
Mehmet Ergezer
Phat Duong
Christian Green
Tommy Nguyen
Abdurrahman Zeybey
AAML
28
2
0
02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAML
CLL
43
3
0
02 Apr 2024
As Firm As Their Foundations: Can open-sourced foundation models be used
  to create adversarial examples for downstream tasks?
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Anjun Hu
Jindong Gu
Francesco Pinto
Konstantinos Kamnitsas
Philip H. S. Torr
AAML
SILM
37
5
0
19 Mar 2024
Boosting Transferability in Vision-Language Attacks via Diversification
  along the Intersection Region of Adversarial Trajectory
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Sensen Gao
Xiaojun Jia
Xuhong Ren
Ivor Tsang
Qing-Wu Guo
AAML
38
14
0
19 Mar 2024
Improving Adversarial Transferability of Vision-Language Pre-training
  Models through Collaborative Multimodal Interaction
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
Jiyuan Fu
Zhaoyu Chen
Kaixun Jiang
Haijing Guo
Jiafeng Wang
Shuyong Gao
Wenqiang Zhang
VLM
AAML
47
2
0
16 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
Attacking Transformers with Feature Diversity Adversarial Perturbation
Chenxing Gao
Hang Zhou
Junqing Yu
Yuteng Ye
Jiale Cai
Junle Wang
Wei Yang
AAML
32
3
0
10 Mar 2024
Hard-label based Small Query Black-box Adversarial Attack
Hard-label based Small Query Black-box Adversarial Attack
Jeonghwan Park
Paul Miller
Niall McLaughlin
MLAU
24
3
0
09 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILM
AAML
68
2
0
27 Feb 2024
Investigating Deep Watermark Security: An Adversarial Transferability
  Perspective
Investigating Deep Watermark Security: An Adversarial Transferability Perspective
Biqing Qi
Junqi Gao
Yiang Luo
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
31
3
0
26 Feb 2024
Boosting Adversarial Transferability across Model Genus by
  Deformation-Constrained Warping
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Qinliang Lin
Cheng Luo
Zenghao Niu
Xilin He
Weicheng Xie
Yuanbo Hou
Linlin Shen
Siyang Song
AAML
39
12
0
06 Feb 2024
Benchmarking Transferable Adversarial Attacks
Benchmarking Transferable Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Huaming Chen
AAML
28
4
0
01 Feb 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of
  SAR ATR
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
Bowen Peng
Bo Peng
Jingyuan Xia
Tianpeng Liu
Yongxiang Liu
Li Liu
AAML
32
4
0
30 Jan 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and
  Adaptive Step Size
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size
Junlin Liu
Xinchen Lyu
AAML
33
3
0
24 Jan 2024
Bag of Tricks to Boost Adversarial Transferability
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang
Rongyi Zhu
Wei Yao
Xiaosen Wang
Chenliang Xu
AAML
47
9
0
16 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by
  gradient editing-based adversarial generative model
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
Zhiyu Zhu
Huaming Chen
Xinyi Wang
Jiayu Zhang
Zhibo Jin
Kim-Kwang Raymond Choo
Jun Shen
Dong Yuan
29
8
0
11 Jan 2024
Enhancing targeted transferability via feature space fine-tuning
Enhancing targeted transferability via feature space fine-tuning
Hui Zeng
Biwei Chen
Anjie Peng
AAML
23
3
0
05 Jan 2024
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object
  Detectors in the Physical World
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
Zheng Zhou
Hong Zhao
Ju Liu
Qiaosheng Zhang
Liwei Geng
Shuchang Lyu
W. Feng
AAML
26
1
0
29 Dec 2023
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial
  Attacks
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
Meixi Zheng
Xuanchen Yan
Zihao Zhu
Hongrui Chen
Baoyuan Wu
ELM
MLAU
AAML
34
8
0
28 Dec 2023
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches
  Generation
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation
Wenyi Tan
Yang Li
Chenxing Zhao
Zhunga Liu
Quanbiao Pan
AAML
23
3
0
28 Dec 2023
AutoAugment Input Transformation for Highly Transferable Targeted
  Attacks
AutoAugment Input Transformation for Highly Transferable Targeted Attacks
Haobo Lu
Xin Liu
Kun He
AAML
18
0
0
21 Dec 2023
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