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1801.08092
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Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
24 January 2018
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
AAML
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Papers citing
"Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations"
50 / 116 papers shown
A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning based Intrusion Detection Systems
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Liyue Zhang
G. Epiphaniou
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155
0
0
22 Nov 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung
Hyoungseob Park
Patrick Rim
Xiaoran Zhang
Jihe He
Ziyao Zeng
Safa Cicek
Byung-Woo Hong
James S. Duncan
Alex Wong
TTA
411
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0
08 Aug 2025
Towards Cross-Domain Multi-Targeted Adversarial Attacks
Taïga Gonçalves
Tomo Miyazaki
S. Omachi
OOD
AAML
420
0
0
27 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Jiabo He
James Bailey
AAML
589
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0
08 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
370
1
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11 Apr 2025
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
AAAI Conference on Artificial Intelligence (AAAI), 2025
YangTian Yan
Jinyu Tian
AAML
FedML
334
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0
28 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Computer Vision and Pattern Recognition (CVPR), 2025
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
1.1K
3
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28 Feb 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Namhyuk Ahn
Kiyoon Yoo
Wonhyuk Ahn
Daesik Kim
Seung-Hun Nam
AAML
WIGM
DiffM
581
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0
16 Dec 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
Neural Information Processing Systems (NeurIPS), 2024
Ziqi Zhou
Yufei Song
Minghui Li
Shengshan Hu
Xianlong Wang
Leo Yu Zhang
Dezhong Yao
Hai Jin
353
33
0
26 Sep 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan
Pengyu Wang
Danni Wang
Weiquan Huang
Daniel Watzenig
Huilin Yin
AAML
VLM
241
6
0
19 Aug 2024
Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches
Chenxing Zhao
Yang Li
Shihao. Wu
Wenyi Tan
Shuangju Zhou
Quanbiao Pan
MDE
AAML
213
7
0
24 Jul 2024
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
Donghua Wang
Wen Yao
Tingsong Jiang
Chao Li
Xiaoqian Chen
AAML
318
3
0
09 Jul 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
607
33
0
08 Jun 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
Bowen Peng
Bo Peng
Jingyuan Xia
Tianpeng Liu
Yongxiang Liu
Li Liu
AAML
219
18
0
30 Jan 2024
AdvCloak: Customized Adversarial Cloak for Privacy Protection
Xuannan Liu
Yaoyao Zhong
Xingchen Cui
Yuhang Zhang
Peipei Li
Weihong Deng
PICV
273
5
0
22 Dec 2023
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models
Francesco Croce
Matthias Hein
VLM
231
7
0
24 Nov 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
Heeseon Kim
Minji Son
Minbeom Kim
Myung-Joon Kwon
Changick Kim
AAML
303
13
0
17 Nov 2023
Universal Perturbation-based Secret Key-Controlled Data Hiding
Donghua Wang
Wenbiao Yao
Tingsong Jiang
Xiaoqian Chen
AAML
319
0
0
03 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
423
8
0
26 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
ACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
365
42
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01 Oct 2023
Attacking logo-based phishing website detectors with adversarial perturbations
European Symposium on Research in Computer Security (ESORICS), 2023
Jehyun Lee
Zhe Xin
Melanie Ng Pei See
Kanav Sabharwal
Giovanni Apruzzese
D. Divakaran
AAML
297
12
0
18 Aug 2023
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
367
6
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15 Aug 2023
Downstream-agnostic Adversarial Examples
IEEE International Conference on Computer Vision (ICCV), 2023
Ziqi Zhou
Shengshan Hu
Rui-Qing Zhao
Qian Wang
L. Zhang
Xianqiang Lyu
Hai Jin
SILM
AAML
396
41
0
23 Jul 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Songyang Gao
Jiajun Sun
Tao Gui
Xuanjing Huang
Jin Ma
Yingchun Shan
AAML
216
5
0
27 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
337
2
0
25 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
European Conference on Computer Vision (ECCV), 2023
Francesco Croce
Naman D. Singh
Matthias Hein
VLM
253
13
0
22 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Journal of remote sensing (JRS), 2023
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
405
15
0
21 Jun 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
522
35
0
19 Feb 2023
Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang
Changfeng Sun
Haoliang Han
Hang Wang
Hongbin Sun
Nanning Zheng
AAML
340
4
0
13 Dec 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Zhixing Ye
Xinwen Cheng
Xiaolin Huang
AAML
298
16
0
27 Sep 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
Yantao Du
Cheng Luo
Qinliang Lin
Weicheng Xie
Minmin Liu
Linlin Shen
Keerthy Kusumam
Siyang Song
315
8
0
12 Aug 2022
Versatile Weight Attack via Flipping Limited Bits
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jiawang Bai
Baoyuan Wu
Zhifeng Li
Shutao Xia
AAML
265
26
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25 Jul 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
OOD
306
1
0
02 Jun 2022
OPOM: Customized Invisible Cloak towards Face Privacy Protection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yaoyao Zhong
Weihong Deng
PICV
273
48
0
24 May 2022
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Neural Information Processing Systems (NeurIPS), 2022
M. Rakesh
Jogendra Nath Kundu
Varun Jampani
R. Venkatesh Babu
3DH
250
12
0
04 Apr 2022
Adversarially robust segmentation models learn perceptually-aligned gradients
Pedro Sandoval-Segura
231
0
0
03 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack
Computer Vision and Pattern Recognition (CVPR), 2022
Wenxuan Wang
Xuelin Qian
Yanwei Fu
Xiangyang Xue
OOD
AAML
160
23
0
03 Apr 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Computer Vision and Pattern Recognition (CVPR), 2022
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
438
160
0
10 Mar 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
International Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
381
2
0
07 Feb 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
IEEE International Symposium on Quality Electronic Design (ISQED), 2021
B. Ghavami
Seyd Movi
Zhenman Fang
Lesley Shannon
AAML
232
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Stereoscopic Universal Perturbations across Different Architectures and Datasets
Z. Berger
Parth T. Agrawal
Tianlin Liu
Stefano Soatto
A. Wong
AAML
367
24
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12 Dec 2021
Thundernna: a white box adversarial attack
Linfeng Ye
Shayan Mohajer Hamidi
AAML
365
7
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24 Nov 2021
Reversible Attack based on Local Visual Adversarial Perturbation
Li Chen
Shaowei Zhu
Z. Yin
AAML
306
10
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06 Oct 2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
AAAI Conference on Artificial Intelligence (AAAI), 2021
Swapnil Parekh
Yaman Kumar Singla
Somesh Singh
Changyou Chen
Balaji Krishnamurthy
R. Shah
AAML
282
7
0
25 Sep 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
Wonseok Park
Nan Liu
Qi Alfred Chen
Z. Morley Mao
AAML
3DPC
240
15
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13 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Yazhe Niu
Yan Wang
Aishan Liu
Jinyang Guo
...
Xianglong Liu
Basel Alomair
Alan Yuille
Juil Sock
Dacheng Tao
VLM
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375
124
0
11 Sep 2021
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness
International Journal of Computer Vision (IJCV), 2021
Md. Amirul Islam
M. Kowal
Konstantinos G. Derpanis
Neil D. B. Bruce
196
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On Procedural Adversarial Noise Attack And Defense
Jun Yan
Xiaoyang Deng
Huilin Yin
Wancheng Ge
AAML
287
2
0
10 Aug 2021
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang
Jia-dong Qiu
Aritra Chowdhury
James R. Kubricht
Peter Tu
Iyer Naresh
Nurali Virani
AAML
MLAU
191
0
0
26 Jul 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Bingqian Lin
Yi Zhu
Yanxin Long
Xiaodan Liang
QiXiang Ye
Liang Lin
AAML
227
24
0
23 Jul 2021
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