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Black-box Adversarial Attacks with Limited Queries and Information
v1v2v3 (latest)

Black-box Adversarial Attacks with Limited Queries and Information

International Conference on Machine Learning (ICML), 2018
23 April 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
    MLAUAAML
ArXiv (abs)PDFHTML

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

50 / 683 papers shown
Rethinking Mixup for Improving the Adversarial Transferability
Rethinking Mixup for Improving the Adversarial Transferability
Xiaosen Wang
Zeyuan Yin
AAML
254
3
0
28 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded
  Artificial Intelligence
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
199
2
0
23 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
209
8
0
18 Nov 2023
Towards Robust and Accurate Visual Prompting
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLMVLM
168
5
0
18 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with
  Low-Frequency Perturbations
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency PerturbationsEuropean Conference on Artificial Intelligence (ECAI), 2023
Kunyu Wang
Juluan Shi
Wenxuan Wang
AAML
306
7
0
31 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public ModelsInternational Conference on Learning Representations (ICLR), 2023
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David Wagner
AAML
289
9
0
26 Oct 2023
Instability of computer vision models is a necessary result of the task
  itself
Instability of computer vision models is a necessary result of the task itself
Oliver Turnbull
G. Cevora
AAML
63
1
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
372
7
0
26 Oct 2023
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask
  Detection
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask DetectionNeural Information Processing Systems (NeurIPS), 2023
Yuxin Cao
Yian Li
Yumeng Zhu
Derui Wang
Minhui Xue
CVBM3DH3DPC
230
2
0
25 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial
  Training via Sampling Subnetworks
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling SubnetworksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
Jianshu Li
Jindong Gu
Yang Bai
Xiaochun Cao
AAML
225
14
0
24 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like
  Adversarial Examples
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
Jun Liu
Jiantao Zhou
Jinyu Tian
Weiwei Sun
PICV
143
9
0
19 Oct 2023
Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks
Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box AttacksKnowledge-Based Systems (KBS), 2023
Zhaoyu Chen
Yue Liu
Kaixun Jiang
Shuang Wu
Shouhong Ding
Wenqiang Zhang
CVBMAAML
416
2
0
18 Oct 2023
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttackNeurocomputing (Neurocomputing), 2023
Yao Li
Shengzhu Shi
Zhichang Guo
Boying Wu
Yang Zhao
AAMLPINN
534
1
0
18 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron
  attribution
DANAA: Towards transferable attacks with double adversarial neuron attributionInternational Conference on Advanced Data Mining and Applications (ADMA), 2023
Zhibo Jin
Zhiyu Zhu
Xinyi Wang
Jiayu Zhang
Jun Shen
Huaming Chen
AAML
194
11
0
16 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao
Avi Schwarzschild
Guang Cheng
Hamed Hassani
George J. Pappas
Eric Wong
AAML
640
1,061
0
12 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep
  Neural Networks
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
Yang Wang
B. Dong
Ke Xu
Haiyin Piao
Yufei Ding
Baocai Yin
Xin Yang
AAML
175
3
0
10 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingInternational Conference on Learning Representations (ICLR), 2023
Chenyi Zi
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
631
76
0
03 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 AttacksACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
257
34
0
01 Oct 2023
Understanding the Robustness of Randomized Feature Defense Against
  Query-Based Adversarial Attacks
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Quang H. Nguyen
Yingjie Lao
Tung Pham
Kok-Seng Wong
Khoa D. Doan
AAMLSILM
178
1
0
01 Oct 2023
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial TransferabilityIEEE International Conference on Computer Vision (ICCV), 2023
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
199
104
0
26 Sep 2023
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature
  Space
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature SpaceAAAI Conference on Artificial Intelligence (AAAI), 2023
Liu Jun
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
192
2
0
26 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of
  Adversarial Attacks
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2023
Ao Zhang
Yu Ran
Weixuan Tang
Yuan-Gen Wang
284
18
0
24 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
342
157
0
21 Sep 2023
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via
  Split-Second Phoneme Injection
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme InjectionInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2023
Hanqing Guo
Guangjing Wang
Yuanda Wang
Bocheng Chen
Qiben Yan
Li Xiao
AAML
200
13
0
13 Sep 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box
  Attacks
Exploring Non-additive Randomness on ViT against Query-Based Black-Box AttacksBritish Machine Vision Conference (BMVC), 2023
Jindong Gu
Fangyun Wei
Juil Sock
Han Hu
AAML
183
1
0
12 Sep 2023
Privacy Side Channels in Machine Learning Systems
Privacy Side Channels in Machine Learning SystemsUSENIX Security Symposium (USENIX Security), 2023
Edoardo Debenedetti
Giorgio Severi
Nicholas Carlini
Christopher A. Choquette-Choo
Matthew Jagielski
Milad Nasr
Eric Wallace
Florian Tramèr
MIALM
520
49
0
11 Sep 2023
The Adversarial Implications of Variable-Time Inference
The Adversarial Implications of Variable-Time Inference
Dudi Biton
Aditi Misra
Efrat Levy
J. Kotak
Ron Bitton
R. Schuster
Nicolas Papernot
Yuval Elovici
Ben Nassi
AAML
136
1
0
05 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake
  Detection
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang
Zhengyu Zhao
Andrii Zadaianchuk
Bruno Lepri
AAML
233
3
0
03 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal EmbeddingsUSENIX Security Symposium (USENIX Security), 2023
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
780
27
0
22 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic
  Transformations via Transformation-Dependent Randomized Smoothing
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized SmoothingEuropean Conference on Artificial Intelligence (ECAI), 2023
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
218
0
0
17 Aug 2023
Dynamic Neural Network is All You Need: Understanding the Robustness of
  Dynamic Mechanisms in Neural Networks
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks
Mirazul Haque
Wei Yang
AAML
148
4
0
17 Aug 2023
A Review of Adversarial Attacks in Computer Vision
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
241
5
0
15 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D
  Point Cloud Attack
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud AttackIEEE International Conference on Computer Vision (ICCV), 2023
Yunbo Tao
Daizong Liu
Pan Zhou
Yulai Xie
Wei Du
Wei Hu
3DPCAAML
273
27
0
15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network
  Intrusion Detection
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion DetectionComputers & security (Comput. Secur.), 2023
João Vitorino
Isabel Praça
Eva Maia
AAML
213
30
0
13 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness
On the Interplay of Convolutional Padding and Adversarial Robustness
Paul Gavrikov
J. Keuper
AAML
274
4
0
12 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Blerta Lindqvist
AAML
156
0
0
10 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively
  Weighted Regularization and Knowledge Distillation
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge DistillationIEEE International Conference on Computer Vision (ICCV), 2023
Dongyoon Yang
Insung Kong
Yongdai Kim
189
5
0
08 Aug 2023
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity
  Deep Hiding
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep HidingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Hangcheng Liu
Tao Xiang
Shangwei Guo
Han Li
Tianwei Zhang
Xiaofeng Liao
151
10
0
03 Aug 2023
Mirror Natural Evolution Strategies
Mirror Natural Evolution Strategies
Haishan Ye
152
5
0
01 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against
  Query-Based Black-Box Attacks
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
AAML
174
3
0
30 Jul 2023
Towards Building More Robust Models with Frequency Bias
Towards Building More Robust Models with Frequency BiasIEEE International Conference on Computer Vision (ICCV), 2023
Qingwen Bu
Dong Huang
Heming Cui
AAML
249
19
0
19 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
298
3
0
17 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede
Ashutosh Nirala
Modeste Atsague
Jin Tian
AAML
168
2
0
14 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack
Query-Efficient Decision-based Black-Box Patch AttackIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
277
42
0
02 Jul 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via
  Purifying Poisoned Features
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned FeaturesNeural Information Processing Systems (NeurIPS), 2023
Mingli Zhu
Shaokui Wei
H. Zha
Baoyuan Wu
AAML
190
50
0
29 Jun 2023
Document Image Cleaning using Budget-Aware Black-Box Approximation
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Ganesh Tata
Katyani Singh
E. V. Oeveren
Nilanjan Ray
AAML
120
0
0
22 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Visual Adversarial Examples Jailbreak Aligned Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiangyu Qi
Kaixuan Huang
Ashwinee Panda
Peter Henderson
Mengdi Wang
Prateek Mittal
AAML
284
267
0
22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability
Rethinking the Backward Propagation for Adversarial TransferabilityNeural Information Processing Systems (NeurIPS), 2023
Xiaosen Wang
Kangheng Tong
Kun He
AAMLSILM
438
40
0
22 Jun 2023
HumanDiffusion: diffusion model using perceptual gradients
HumanDiffusion: diffusion model using perceptual gradientsInterspeech (Interspeech), 2023
Yota Ueda
Shinnosuke Takamichi
Yuki Saito
Norihiro Takamune
Hiroshi Saruwatari
DiffM
139
0
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A Comprehensive Study on the Robustness of Image Classification and
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A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and BenchmarkingJournal of remote sensing (JRS), 2023
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
370
14
0
21 Jun 2023
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