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1804.08598
Cited By
Black-box Adversarial Attacks with Limited Queries and Information
23 April 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
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Papers citing
"Black-box Adversarial Attacks with Limited Queries and Information"
50 / 651 papers shown
Title
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
19
3
0
15 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
Yunbo Tao
Daizong Liu
Pan Zhou
Yulai Xie
Wei Du
Wei Hu
3DPC
AAML
19
11
0
15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino
Isabel Praça
Eva Maia
AAML
28
22
0
13 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness
Paul Gavrikov
J. Keuper
AAML
23
3
0
12 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Blerta Lindqvist
AAML
35
0
0
10 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Dongyoon Yang
Insung Kong
Yongdai Kim
31
4
0
08 Aug 2023
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Hangcheng Liu
Tao Xiang
Shangwei Guo
Han Li
Tianwei Zhang
Xiaofeng Liao
18
5
0
03 Aug 2023
Mirror Natural Evolution Strategies
Haishan Ye
14
2
0
01 Aug 2023
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
13
3
0
30 Jul 2023
Towards Building More Robust Models with Frequency Bias
Qingwen Bu
Dong Huang
Heming Cui
AAML
15
10
0
19 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
25
2
0
17 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede
Ashutosh Nirala
Modeste Atsague
Jin Tian
AAML
17
2
0
14 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack
Zhaoyu Chen
Bo-wen Li
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
16
33
0
02 Jul 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
Mingli Zhu
Shaokui Wei
H. Zha
Baoyuan Wu
AAML
30
37
0
29 Jun 2023
Document Image Cleaning using Budget-Aware Black-Box Approximation
Ganesh Tata
Katyani Singh
E. V. Oeveren
Nilanjan Ray
AAML
15
0
0
22 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Xiangyu Qi
Kaixuan Huang
Ashwinee Panda
Peter Henderson
Mengdi Wang
Prateek Mittal
AAML
23
137
0
22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability
Xiaosen Wang
Kangheng Tong
Kun He
AAML
SILM
17
25
0
22 Jun 2023
HumanDiffusion: diffusion model using perceptual gradients
Yota Ueda
Shinnosuke Takamichi
Yuki Saito
Norihiro Takamune
Hiroshi Saruwatari
DiffM
11
0
0
21 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
23
11
0
21 Jun 2023
Wasserstein distributional robustness of neural networks
Xingjian Bai
Guangyi He
Yifan Jiang
J. Obłój
OOD
AAML
16
6
0
16 Jun 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models
Raz Lapid
Moshe Sipper
AAML
19
17
0
13 Jun 2023
Faithful Knowledge Distillation
Tom A. Lamb
Rudy Bunel
Krishnamurthy Dvijotham
M. P. Kumar
Philip H. S. Torr
Francisco Eiras
AAML
17
0
0
07 Jun 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Chongxuan Li
Ngai-man Cheung
Min-Bin Lin
VLM
AAML
MLLM
19
166
0
26 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
16
18
0
26 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou
Qing-Wu Guo
Yihao Huang
Xiaofei Xie
L. Ma
Jianjun Zhao
AAML
26
47
0
23 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
37
18
0
20 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma
A. Subramanyam
Siddhesh Bangar
Naman Lal
R. Shah
Shiníchi Satoh
29
4
0
13 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense
Yue-li Cui
Syed Imran Ali Meerza
Zhuohang Li
Luyang Liu
Jiaxin Zhang
Jian-Dong Liu
AAML
FedML
21
4
0
11 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
Hanbin Hong
Xinyu Zhang
Binghui Wang
Zhongjie Ba
Yuan Hong
AAML
22
2
0
10 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models
Wenjie Qu
Youqi Li
Binghui Wang
AAML
13
5
0
05 Apr 2023
Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai
Yaoteng Tan
M. Salman Asif
AAML
25
14
0
25 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
M. Keuper
AAML
28
9
0
22 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
Xunguang Wang
Jiawang Bai
Xin-Chao Xu
X. Li
AAML
10
1
0
22 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Kaixun Jiang
Zhaoyu Chen
Tony Huang
Jiafeng Wang
Dingkang Yang
Bo-wen Li
Yan Wang
Wenqiang Zhang
AAML
17
21
0
21 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
X. Lin
Sijia Liu
AAML
MLAU
26
1
0
13 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
Ryan Feng
Ashish Hooda
Neal Mangaokar
Kassem Fawaz
S. Jha
Atul Prakash
AAML
60
11
0
11 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation
Geunhyeok Yu
Minwoo Jeon
Hyoseok Hwang
AAML
21
1
0
09 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
Raz Lapid
Eylon Mizrahi
Moshe Sipper
AAML
26
1
0
07 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Yi Yu
Yufei Wang
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
63
41
0
28 Feb 2023
Adversarial Attack with Raindrops
Jiyuan Liu
Bingyi Lu
Mingkang Xiong
Tao Zhang
Huilin Xiong
13
18
0
28 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
Fabian Woitschek
G. Schneider
AAML
30
9
0
27 Feb 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
28
128
0
24 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
30
8
0
21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Jiadi Yao
H. Luo
Xiao-Lei Zhang
AAML
24
1
0
21 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Ziang Yan
Shusen Wang
Guorui Zhou
Jingjian Lin
Peng Jiang
OffRL
13
8
0
09 Feb 2023
Shortcut Detection with Variational Autoencoders
Nicolas M. Muller
Simon Roschmann
Shahbaz Khan
Philip Sperl
Konstantin Böttinger
AAML
DRL
29
1
0
08 Feb 2023
Black Box Adversarial Prompting for Foundation Models
N. Maus
Patrick Chao
Eric Wong
Jacob R. Gardner
VLM
22
56
0
08 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri
Steffen Jung
M. Keuper
AAML
29
21
0
04 Feb 2023
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