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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"
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Title
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
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
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
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
Sudev Kumar Padhi
Sk. Subidh Ali
AAML
40
0
0
09 Jul 2024
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
Feilong Wang
Xin Wang
X. Ban
AAML
22
7
0
06 Jul 2024
L
p
L_p
L
p
-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
Chao Zhou
Xiaowen Shi
Yuan-Gen Wang
ViT
AAML
19
0
0
29 Jun 2024
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
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
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
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
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
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
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
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
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
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
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?
Korn Sooksatra
Greg Hamerly
Pablo Rivas
16
3
0
06 May 2024
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
Furkan Mumcu
Yasin Yılmaz
AAML
31
1
0
13 Apr 2024
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
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
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
Alireza Aghasi
Saeed Ghadimi
33
2
0
29 Mar 2024
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
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
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
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
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
Roey Bokobza
Yisroel Mirsky
AAML
30
0
0
14 Mar 2024
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
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
Xiaomeng Hu
Pin-Yu Chen
Tsung-Yi Ho
AAML
26
26
0
01 Mar 2024
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
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
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
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
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
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
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
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
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
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
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
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
Yijiang Pang
Jiayu Zhou
22
0
0
02 Feb 2024
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
Elissa Mhanna
Mohamad Assaad
41
1
0
30 Jan 2024
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