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Delving into Transferable Adversarial Examples and Black-box Attacks
v1v2v3 (latest)

Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
    AAML
ArXiv (abs)PDFHTML

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 928 papers shown
Title
Generating Universal Adversarial Perturbations for Quantum Classifiers
Generating Universal Adversarial Perturbations for Quantum Classifiers
Gautham Anil
Vishnu Vinod
Apurva Narayan
AAML
80
5
0
13 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially
  Robust Defense
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
92
6
0
11 Feb 2024
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted
  Attribute-aware Distribution
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution
Qi Zhou
Donghai Hong
Tianlin Li
Zhihong Xu
Yang Liu
Kui Ren
Wenhai Wang
Qing Guo
AAMLDiffM
59
2
0
06 Feb 2024
Arabic Synonym BERT-based Adversarial Examples for Text Classification
Arabic Synonym BERT-based Adversarial Examples for Text Classification
Norah M. Alshahrani
Saied Alshahrani
Esma Wali
Jeanna Neefe Matthews
AAML
60
6
0
05 Feb 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language
  Models
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu
Jiarui Yao
Manli Shu
Yanchao Sun
Zichu Wu
Ning Yu
Tom Goldstein
Furong Huang
AAML
125
25
0
05 Feb 2024
Benchmarking Transferable Adversarial Attacks
Benchmarking Transferable Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Huaming Chen
AAML
85
5
0
01 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
145
94
0
25 Jan 2024
Explainable and Transferable Adversarial Attack for ML-Based Network
  Intrusion Detectors
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang
Dongqi Han
Yinlong Liu
Zhiliang Wang
Jiyan Sun
Shangyuan Zhuang
Jiqiang Liu
Jinsong Dong
AAML
61
6
0
19 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
Ping Guo
Xiang Li
Zhiyuan Yang
Xi Lin
Qingchuan Zhao
Qingfu Zhang
AAML
100
4
0
19 Jan 2024
Towards Scalable and Robust Model Versioning
Towards Scalable and Robust Model Versioning
Wenxin Ding
A. Bhagoji
Ben Y. Zhao
Haitao Zheng
AAML
82
0
0
17 Jan 2024
A GAN-based data poisoning framework against anomaly detection in
  vertical federated learning
A GAN-based data poisoning framework against anomaly detection in vertical federated learning
Xiaolin Chen
Daoguang Zan
Wei Li
Bei Guan
Yongji Wang
FedMLAAML
57
4
0
17 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
86
11
0
16 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
87
5
0
05 Jan 2024
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
90
3
0
28 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
ELMMLAUAAML
99
8
0
28 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized
  Surrogate
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Tao Wu
Tie Luo
D. C. Wunsch
85
6
0
20 Dec 2023
Mutual-modality Adversarial Attack with Semantic Perturbation
Mutual-modality Adversarial Attack with Semantic Perturbation
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
AAML
98
10
0
20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by
  Composing Data Augmentations
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations
Zebin Yun
Achi-Or Weingarten
Eyal Ronen
Mahmood Sharif
64
2
0
18 Dec 2023
Towards Transferable Targeted 3D Adversarial Attack in the Physical
  World
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
Yao Huang
Yinpeng Dong
Shouwei Ruan
Xiao Yang
Hang Su
Xingxing Wei
DiffM
87
18
0
15 Dec 2023
Adversarial Robustness on Image Classification with $k$-means
Adversarial Robustness on Image Classification with kkk-means
Rollin Omari
Junae Kim
Paul Montague
OODVLM
35
0
0
15 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
Thomas Paniagua
Ryan Grainger
Tianfu Wu
AAML
72
0
0
12 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu
Yu-an Tan
Yajie Wang
Ruinan Ma
Wencong Ma
Yuan-zhang Li
AAML
80
9
0
11 Dec 2023
On the Robustness of Large Multimodal Models Against Image Adversarial
  Attacks
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
Xuanimng Cui
Alejandro Aparcedo
Young Kyun Jang
Ser-Nam Lim
AAMLVLM
97
47
0
06 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language
  Models
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
Xunguang Wang
Zhenlan Ji
Pingchuan Ma
Zongjie Li
Shuai Wang
MLLM
96
14
0
04 Dec 2023
Improving Adversarial Transferability via Model Alignment
Improving Adversarial Transferability via Model Alignment
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Philip Torr
Jindong Gu
AAML
77
5
0
30 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using
  Pre-trained Model
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
AprilPyone Maungmaung
Isao Echizen
Hitoshi Kiya
VLMAAML
57
0
0
28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability
Rethinking Mixup for Improving the Adversarial Transferability
Xiaosen Wang
Zeyuan Yin
AAML
54
2
0
28 Nov 2023
Adversarial Purification of Information Masking
Adversarial Purification of Information Masking
Sitong Liu
Z. Lian
Shuangquan Zhang
Liang Xiao
AAML
74
0
0
26 Nov 2023
AdvGen: Physical Adversarial Attack on Face Presentation Attack
  Detection Systems
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
Sai Amrit Patnaik
Shivali Chansoriya
Anil K. Jain
A. Namboodiri
AAMLGAN
82
0
0
20 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAMLSILM
135
3
0
20 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Tao Wang
Zijian Ying
Qianmu Li
Zhichao Lian
AAML
115
6
0
18 Nov 2023
Improving Adversarial Transferability by Stable Diffusion
Improving Adversarial Transferability by Stable Diffusion
Jiayang Liu
Siyu Zhu
Siyuan Liang
Jie Zhang
Han Fang
Weiming Zhang
Ee-Chien Chang
AAMLDiffM
75
12
0
18 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse
  Representations
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
121
0
0
14 Nov 2023
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
Nivedita Shrivastava
S. Sarangi
AAML
99
1
0
05 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jiakai Wang
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
111
4
0
01 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David Wagner
AAML
95
6
0
26 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip Torr
AAML
116
31
0
26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
102
6
0
26 Oct 2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing
  Noisy Input
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input
Minh Nguyen
Nancy F. Chen
77
0
0
21 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against
  Adversarial Attacks
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
Yue Cao
Tianlin Li
Xiaofeng Cao
Ivor Tsang
Yang Liu
Qing Guo
AAML
66
2
0
18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Jerry Zhi-Yang He
Zackory M. Erickson
Daniel S. Brown
Anca Dragan
AAML
83
0
0
16 Oct 2023
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Wenjie Lv
Zhen Wang
Yitao Zheng
Zhehua Zhong
Qi Xuan
Tianyi Chen
AAML
88
1
0
14 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao
Alexander Robey
Yan Sun
Hamed Hassani
George J. Pappas
Eric Wong
AAML
165
710
0
12 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
85
18
0
01 Oct 2023
On Continuity of Robust and Accurate Classifiers
On Continuity of Robust and Accurate Classifiers
Ramin Barati
Reza Safabakhsh
Mohammad Rahmati
AAML
117
1
0
29 Sep 2023
Investigating Human-Identifiable Features Hidden in Adversarial
  Perturbations
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
Dennis Y. Menn
Tzu-hsun Feng
Sriram Vishwanath
Hung-yi Lee
AAML
53
0
0
28 Sep 2023
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial Transferability
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
76
66
0
26 Sep 2023
On the Effectiveness of Adversarial Samples against Ensemble
  Learning-based Windows PE Malware Detectors
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors
T. To
Danhee Kim
Do Thi Thu Hien
Nghi Hoang Khoa
Hien Do Hoang
Phan The Duy
V. Pham
AAML
50
1
0
25 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks?
How Robust is Google's Bard to Adversarial Image Attacks?
Yinpeng Dong
Huanran Chen
Jiawei Chen
Zhengwei Fang
Xiaohu Yang
Yichi Zhang
Yu Tian
Hang Su
Jun Zhu
AAML
118
116
0
21 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in
  Machine Unlearning Services
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services
Hongsheng Hu
Shuo Wang
Jiamin Chang
Haonan Zhong
Ruoxi Sun
Shuang Hao
Haojin Zhu
Minhui Xue
MU
76
30
0
15 Sep 2023
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