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Black-box Adversarial Attacks with Limited Queries and Information

Black-box Adversarial Attacks with Limited Queries and Information

23 April 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
    MLAU
    AAML
ArXivPDFHTML

Papers citing "Black-box Adversarial Attacks with Limited Queries and Information"

50 / 651 papers shown
Title
Preventing Catastrophic Overfitting in Fast Adversarial Training: A
  Bi-level Optimization Perspective
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
AAML
53
2
0
17 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled
  Images
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
AAML
23
0
0
13 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
42
0
0
11 Jul 2024
A Comprehensive Survey on the Security of Smart Grid: Challenges,
  Mitigations, and Future Research Opportunities
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
Arastoo Zibaeirad
Farnoosh Koleini
Shengping Bi
Tao Hou
Tao Wang
AAML
40
14
0
10 Jul 2024
DLOVE: A new Security Evaluation Tool for Deep Learning Based
  Watermarking Techniques
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
Sudev Kumar Padhi
Sk. Subidh Ali
AAML
40
0
0
09 Jul 2024
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
Feilong Wang
Xin Wang
X. Ban
AAML
22
7
0
06 Jul 2024
$L_p$-norm Distortion-Efficient Adversarial Attack
LpL_pLp​-norm Distortion-Efficient Adversarial Attack
Chao Zhou
Yuan-Gen Wang
Zi-Jia Wang
Xiangui Kang
31
0
0
03 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Chao Zhou
Xiaowen Shi
Yuan-Gen Wang
ViT
AAML
19
0
0
29 Jun 2024
On Discrete Prompt Optimization for Diffusion Models
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang
Ting Liu
Cho-Jui Hsieh
Boqing Gong
DiffM
34
6
0
27 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training
  with circle loss
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Xiangli Yang
Xijie Deng
Hanwei Zhang
Yang Zou
Jianxi Yang
AAML
41
0
0
20 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
32
6
0
08 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 Jun 2024
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial
  Attacks
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Feiyang Wang
Xingquan Zuo
Hai Huang
Gang Chen
AAML
33
1
0
07 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
35
0
0
05 Jun 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
29
3
0
29 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
Configurable Mirror Descent: Towards a Unification of Decision Making
Configurable Mirror Descent: Towards a Unification of Decision Making
Pengdeng Li
Shuxin Li
Chang Yang
Xinrun Wang
Shuyue Hu
Xiao Huang
Hau Chan
Bo An
36
1
0
20 May 2024
Adversarial Robustness for Visual Grounding of Multimodal Large Language
  Models
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models
Kuofeng Gao
Yang Bai
Jiawang Bai
Yong Yang
Shu-Tao Xia
AAML
24
18
0
16 May 2024
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large
  Language Models
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Raghuveer Peri
Sai Muralidhar Jayanthi
S. Ronanki
Anshu Bhatia
Karel Mundnich
...
Srikanth Vishnubhotla
Daniel Garcia-Romero
S. Srinivasan
Kyu J. Han
Katrin Kirchhoff
AAML
32
3
0
14 May 2024
Is ReLU Adversarially Robust?
Is ReLU Adversarially Robust?
Korn Sooksatra
Greg Hamerly
Pablo Rivas
16
3
0
06 May 2024
Energy-Latency Manipulation of Multi-modal Large Language Models via
  Verbose Samples
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples
Kuofeng Gao
Jindong Gu
Yang Bai
Shu-Tao Xia
Philip H. S. Torr
Wei Liu
Zhifeng Li
69
11
0
25 Apr 2024
Multimodal Attack Detection for Action Recognition Models
Multimodal Attack Detection for Action Recognition Models
Furkan Mumcu
Yasin Yılmaz
AAML
31
1
0
13 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial
  Attack
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
33
5
0
08 Apr 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise
  Regression Tasks
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng
Zhaoyi Liu
Tengda Guo
Shiwei Feng
Dongfang Liu
Mingjie Tang
Xiangyu Zhang
AAML
32
3
0
01 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
28
0
0
30 Mar 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Alireza Aghasi
Saeed Ghadimi
33
2
0
29 Mar 2024
ADAPT to Robustify Prompt Tuning Vision Transformers
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
36
0
0
19 Mar 2024
LocalStyleFool: Regional Video Style Transfer Attack Using Segment
  Anything Model
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
Yuxin Cao
Jinghao Li
Xi Xiao
Derui Wang
Minhui Xue
Hao Ge
Wei Liu
Guangwu Hu
AAML
44
1
0
18 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A
  Pilot Study
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Chenguang Wang
Ruoxi Jia
Xin Liu
Dawn Song
VLM
23
7
0
15 Mar 2024
Mitigating Dialogue Hallucination for Large Vision Language Models via
  Adversarial Instruction Tuning
Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning
Dongmin Park
Zhaofang Qian
Guangxing Han
Ser-Nam Lim
MLLM
35
0
0
15 Mar 2024
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts
  on Vision-Language Models
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Haochen Luo
Jindong Gu
Fengyuan Liu
Philip H. S. Torr
VLM
VPVLM
AAML
49
20
0
14 Mar 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box
  Adversarial Attacks
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
Roey Bokobza
Yisroel Mirsky
AAML
30
0
0
14 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
19
3
0
09 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang
Mohammad Abdi
Shahriar Rifat
Francesco Restuccia
AAML
25
0
0
01 Mar 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
Xiaomeng Hu
Pin-Yu Chen
Tsung-Yi Ho
AAML
26
26
0
01 Mar 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
25
3
0
26 Feb 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM
  Fine-Tuning
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Yong Liu
Zirui Zhu
Chaoyu Gong
Minhao Cheng
Cho-Jui Hsieh
Yang You
MoE
37
16
0
24 Feb 2024
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image
  Generators
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators
Yu Tian
Xiao Yang
Yinpeng Dong
Heming Yang
Hang Su
Jun Zhu
AAML
34
4
0
23 Feb 2024
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Duy Nguyen
Bao Nguyen
Viet Anh Nguyen
18
0
0
23 Feb 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM
  Fine-Tuning: A Benchmark
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang
Pingzhi Li
Junyuan Hong
Jiaxiang Li
Yimeng Zhang
...
Wotao Yin
Mingyi Hong
Zhangyang Wang
Sijia Liu
Tianlong Chen
20
45
0
18 Feb 2024
Only My Model On My Data: A Privacy Preserving Approach Protecting one
  Model and Deceiving Unauthorized Black-Box Models
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
Weiheng Chai
Brian Testa
Huantao Ren
Asif Salekin
Senem Velipasalar
6
0
0
14 Feb 2024
Understanding Deep Learning defenses Against Adversarial Examples
  Through Visualizations for Dynamic Risk Assessment
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment
Xabier Echeberria-Barrio
Amaia Gil-Lerchundi
Jon Egana-Zubia
Raul Orduna Urrutia
AAML
21
6
0
12 Feb 2024
Investigating White-Box Attacks for On-Device Models
Investigating White-Box Attacks for On-Device Models
M. Zhou
Xiang Gao
Jing Wu
Kui Liu
Hailong Sun
Li Li
AAML
34
9
0
08 Feb 2024
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted
  Attribute-aware Distribution
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution
Qi Zhou
Dongxia Wang
Tianlin Li
Zhihong Xu
Yang Liu
Kui Ren
Wenhai Wang
Qing-Wu Guo
AAML
DiffM
16
2
0
06 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection
Unraveling the Key of Machine Learning Solutions for Android Malware Detection
Jiahao Liu
Jun Zeng
Fabio Pierazzi
Lorenzo Cavallaro
Zhenkai Liang
AAML
18
7
0
05 Feb 2024
PROSAC: Provably Safe Certification for Machine Learning Models under
  Adversarial Attacks
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Ziquan Liu
Zhuo Zhi
Ilija Bogunovic
Carsten Gerner-Beuerle
Miguel R. D. Rodrigues
AAML
16
0
0
04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly
  Mixed Classifiers
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Yatong Bai
Mo Zhou
Vishal M. Patel
Somayeh Sojoudi
AAML
21
6
0
03 Feb 2024
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
Yijiang Pang
Jiayu Zhou
22
0
0
02 Feb 2024
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Zhaoyu Chen
Zhengyang Shan
Jingwen Chang
Kaixun Jiang
Dingkang Yang
Yiting Cheng
Wenqiang Zhang
AAML
18
0
0
02 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna
Mohamad Assaad
41
1
0
30 Jan 2024
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