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2011.11857
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Augmented Lagrangian Adversarial Attacks
IEEE International Conference on Computer Vision (ICCV), 2020
24 November 2020
Jérôme Rony
Mohammadhadi Shateri
M. Pedersoli
Ismail Ben Ayed
AAML
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Papers citing
"Augmented Lagrangian Adversarial Attacks"
26 / 26 papers shown
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
Ajian Liu
Haocheng Yuan
Xiao Guo
Hui Ma
Wanyi Zhuang
...
Yanyan Liang
Weiqiang Wang
Jun Wan
Xiaoming Liu
Zhen Lei
AAML
CVBM
470
18
0
19 May 2025
Web Artifact Attacks Disrupt Vision Language Models
Maan Qraitem
Piotr Teterwak
Kate Saenko
Bryan A. Plummer
AAML
362
3
0
17 Mar 2025
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
OODD
VLM
407
28
0
18 Jul 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
580
22
0
30 Apr 2024
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
Xianhua He
Dashuang Liang
Xianhua He
Zhanlong Hao
Hui Ma
Binjie Mao
Xi Li
Yao Wang
Pengfei Yan
Ajian Liu
CVBM
AAML
257
19
0
12 Apr 2024
Class and Region-Adaptive Constraints for Network Calibration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
353
3
0
19 Mar 2024
Unified Physical-Digital Face Attack Detection
Hao Fang
Ajian Liu
Haocheng Yuan
Junze Zheng
Dingheng Zeng
...
Jiankang Deng
Sergio Escalera
Xiaoming Liu
Jun Wan
Zhen Lei
CVBM
AAML
419
36
0
31 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
410
7
0
22 Jan 2024
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
Neural Information Processing Systems (NeurIPS), 2023
Bochuan Cao
Changjiang Li
Ting Wang
Jinyuan Jia
Bo Li
Jinghui Chen
DiffM
299
36
0
30 Oct 2023
LEAP: Efficient and Automated Test Method for NLP Software
International Conference on Automated Software Engineering (ASE), 2023
Ming-Ming Xiao
Yan Xiao
Hai Dong
Shunhui Ji
Pengcheng Zhang
AAML
337
15
0
22 Aug 2023
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
374
6
0
15 Aug 2023
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAtt
AAML
473
0
0
08 Jul 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis
Yi Ma
Subrat Kishore Dutta
Xinlei He
Zheng Li
Michael Backes
Yang Zhang
AAML
WIGM
253
28
0
13 Jun 2023
Revisiting DeepFool: generalization and improvement
Alireza Abdollahpourrostam
Mahed Abroshan
Seyed-Mohsen Moosavi-Dezfooli
AAML
315
3
0
22 Mar 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
USENIX Security Symposium (USENIX Security), 2023
Shawn Shan
Jenna Cryan
Emily Wenger
Haitao Zheng
Rana Hanocka
Ben Y. Zhao
WIGM
580
263
0
08 Feb 2023
Provable Robust Saliency-based Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
AAML
FAtt
474
1
0
28 Dec 2022
Class Adaptive Network Calibration
Computer Vision and Pattern Recognition (CVPR), 2022
Bingyuan Liu
Jérôme Rony
Adrian Galdran
Jose Dolz
Ismail Ben Ayed
248
18
0
28 Nov 2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets
Neural Networks (NN), 2022
Amin Jalali
Minho Lee
264
8
0
06 Oct 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Fabio Brau
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
272
7
0
09 Sep 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2022
Jérôme Rony
J. Pesquet
Ismail Ben Ayed
AAML
266
28
0
14 Jun 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Fabio Brau
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
239
12
0
04 Jan 2022
Adversarial Robustness against Multiple and Single
l
p
l_p
l
p
-Threat Models via Quick Fine-Tuning of Robust Classifiers
International Conference on Machine Learning (ICML), 2021
Francesco Croce
Matthias Hein
OOD
AAML
311
25
0
26 May 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training
Machine-mediated learning (ML), 2021
Mohammad Azizmalayeri
M. Rohban
OOD
265
5
0
29 Mar 2021
Mind the box:
l
1
l_1
l
1
-APGD for sparse adversarial attacks on image classifiers
International Conference on Machine Learning (ICML), 2021
Francesco Croce
Matthias Hein
AAML
415
68
0
01 Mar 2021
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
880
872
0
19 Oct 2020
Adversarially Robust Learning via Entropic Regularization
Frontiers in Artificial Intelligence (FAI), 2020
Gauri Jagatap
Ameya Joshi
A. B. Chowdhury
S. Garg
Chinmay Hegde
OOD
356
13
0
27 Aug 2020
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