Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1511.04599
Cited By
v1
v2
v3 (latest)
DeepFool: a simple and accurate method to fool deep neural networks
14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"DeepFool: a simple and accurate method to fool deep neural networks"
50 / 2,353 papers shown
Enhancing Adversarial Example Detection Through Model Explanation
Qian Ma
Ziping Ye
AAML
238
0
0
12 Mar 2025
Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters
Habibur Rahaman
Atri Chatterjee
Swarup Bhunia
273
0
0
10 Mar 2025
Life-Cycle Routing Vulnerabilities of LLM Router
Qiqi Lin
Xiaoyang Ji
Shengfang Zhai
Qingni Shen
Zhi-Li Zhang
Yuejian Fang
Yansong Gao
AAML
255
3
0
09 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability
Bohan Liu
Xiaosen Wang
AAML
479
0
0
08 Mar 2025
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
234
0
0
08 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
H. B. Meftah
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
228
0
0
06 Mar 2025
Task-Agnostic Attacks Against Vision Foundation Models
Brian Pulfer
Yury Belousov
Vitaliy Kinakh
Teddy Furon
S. Voloshynovskiy
AAML
231
0
0
05 Mar 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
Computer Vision and Pattern Recognition (CVPR), 2025
Songlong Xing
Zhengyu Zhao
Andrii Zadaianchuk
AAML
561
10
0
05 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
Nandish Chattopadhyay
Abdul Basit
B. Ouni
Muhammad Shafique
AAML
261
0
0
01 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
927
1
0
28 Feb 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
316
1
0
27 Feb 2025
Unified Prompt Attack Against Text-to-Image Generation Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Duo Peng
Qiuhong Ke
Mark He Huang
Ping Hu
Jing Liu
262
4
0
23 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
759
0
0
20 Feb 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception
Yuanhao Huang
Qinfan Zhang
Jiandong Xing
Mengyue Cheng
Haiyang Yu
Yilong Ren
Xiao Xiong
AAML
291
3
0
12 Feb 2025
Interpretable and Testable Vision Features via Sparse Autoencoders
Samuel Stevens
Wei-Lun Chao
T. Berger-Wolf
Yu-Chuan Su
VLM
402
17
0
10 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
IEEE International Conference on Healthcare Informatics (ICHI), 2025
Amy Rafferty
Rishi Ramaesh
Ajitha Rajan
MedIm
AAML
384
1
0
04 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
380
5
0
28 Jan 2025
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
N. Shah
Ayan Kashyap
Shirish S. Karande
Vineet Gandhi
237
1
0
20 Jan 2025
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Akram Heidarizadeh
Connor Hatfield
Lorenzo Lazzarotto
HanQin Cai
George Atia
AAML
104
0
0
19 Jan 2025
On the uncertainty principle of neural networks
iScience (iScience), 2022
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
462
6
0
17 Jan 2025
Sample Correlation for Fingerprinting Deep Face Recognition
International Journal of Computer Vision (IJCV), 2024
Jiyang Guan
Jian Liang
Yanbo Wang
Xiao-Yu Zhang
AAML
341
3
0
31 Dec 2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
198
0
0
31 Dec 2024
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziqi Zhou
Bowen Li
Yufei Song
Zhifei Yu
Shengshan Hu
Wei Wan
L. Zhang
Dezhong Yao
Hai Jin
AAML
363
13
0
22 Dec 2024
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
International Conference on Information Photonics (ICIP), 2024
Mikael Yeghiazaryan
Sai Abhishek Siddhartha Namburu
Emily Kim
Stanislav Panev
Celso de Melo
Brent Lance
Fernando de la Torre
AAML
414
0
0
20 Dec 2024
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges
IEEE Journal of Oceanic Engineering (IEEE J. Ocean. Eng.), 2024
Martin Aubard
Ana Madureira
Luis F. Teixeira
José Pinto
AAML
315
21
0
16 Dec 2024
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
International Conference on Machine Learning and Applications (ICMLA), 2024
Svetlana Pavlitska
Enrico Eisen
J. Marius Zöllner
AAML
UQCV
MoE
332
4
0
16 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Yuning Han
Bingyin Zhao
Rui Chu
Feng Luo
Biplab Sikdar
Yingjie Lao
DiffM
AAML
568
5
0
16 Dec 2024
Defending Collaborative Filtering Recommenders via Adversarial Robustness Based Edge Reweighting
Yongyu Wang
AAML
265
0
0
14 Dec 2024
Image Privacy Protection: A Survey
Wenying Wen
Ziye Yuan
Yushu Zhang
Tao Wang
Xiangli Xiao
Ruoyu Zhao
Yuming Fang
PILM
347
5
0
05 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
404
1
0
04 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu
Yunbo Tao
Pan Zhou
Wei Hu
3DPC
417
7
0
30 Nov 2024
Face De-identification: State-of-the-art Methods and Comparative Studies
Jingyi Cao
Xiangyi Chen
Bo Liu
Ming Ding
Rong Xie
Li Song
Zhu Li
Wenjun Zhang
PICV
284
6
0
15 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service
IEEE Intelligent Transportation Systems Magazine (ITS), 2024
Kai-Fung Chu
Haiyue Yuan
Jinsheng Yuan
Weisi Guo
Nazmiye Balta-Ozkan
Shujun Li
235
11
0
08 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
Yuhao He
Jinyu Tian
Xianwei Zheng
Li Dong
Yuanman Li
L. Zhang
AAML
351
0
0
06 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
293
46
0
03 Nov 2024
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models
Haifeng Sun
Lan Zhang
Xiang-Yang Li
261
0
0
01 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding
Ehsan Ganjidoost
Jeff Orchard
AAML
156
0
0
31 Oct 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
423
5
0
30 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Lu Yu
Haiyang Zhang
Changsheng Xu
AAML
VLM
320
14
0
29 Oct 2024
Conflict-Aware Adversarial Training
Zhiyu Xue
Haohan Wang
Yao Qin
Ramtin Pedarsani
AAML
345
0
0
21 Oct 2024
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
307
11
0
19 Oct 2024
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
Yuhan Liang
Yijun Li
Yumeng Niu
Qianhe Shen
Hangyu Liu
VLM
AAML
152
1
0
18 Oct 2024
Low-Rank Adversarial PGD Attack
Dayana Savostianova
Emanuele Zangrando
Francesco Tudisco
AAML
263
4
0
16 Oct 2024
Efficient Optimization Algorithms for Linear Adversarial Training
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Antônio H. Ribeiro
Thomas B. Schon
Dave Zahariah
Francis Bach
AAML
441
3
0
16 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
International Conference on Learning Representations (ICLR), 2024
Sajad Movahedi
Antonio Orvieto
Seyed-Mohsen Moosavi-Dezfooli
AI4CE
AAML
1.2K
3
0
15 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
European Conference on Computer Vision (ECCV), 2024
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
271
2
0
14 Oct 2024
Robustness Reprogramming for Representation Learning
International Conference on Learning Representations (ICLR), 2024
Zhichao Hou
MohamadAli Torkamani
Hamid Krim
Xiaorui Liu
AAML
OOD
394
1
0
06 Oct 2024
TA3: Testing Against Adversarial Attacks on Machine Learning Models
Yuanzhe Jin
Min Chen
165
1
0
06 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness
Elie Attias
Cengiz Pehlevan
D. Obeid
AAML
OOD
293
0
0
04 Oct 2024
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
Rakesh Podder
Sudipto Ghosh
AAML
159
2
0
02 Oct 2024
Previous
1
2
3
4
5
6
...
46
47
48
Next
