Universal Adversarial Perturbations Against Semantic Image Segmentation

19 April 2017

J. H. Metzen

Mummadi Chaithanya Kumar

Thomas Brox

Volker Fischer

AAML

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Papers citing "Universal Adversarial Perturbations Against Semantic Image Segmentation"

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PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Yufei Song Ziqi Zhou Minghui Li Xidong Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu L. Zhang AAML 103 4 0 21 Dec 2024
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors Adonisz Dimitriu Tamás Michaletzky Viktor Remeli AAML 153 0 0 28 Oct 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 33 17 0 06 Aug 2024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 34 3 0 26 Oct 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 25 43 0 17 Jun 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 21 4 0 22 May 2023
DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji Zhe Chen Enze Xie Lanqing Hong Xihui Liu Zhaoqiang Liu Tong Lu Zhenguo Li Ping Luo DiffM VLM 47 130 0 30 Mar 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 35 50 0 13 Feb 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 29 2 0 11 Dec 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 21 1 0 07 Nov 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 9 0 0 28 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 30 32 0 24 Oct 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 19 16 0 24 Aug 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 14 2 0 23 Aug 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 33 26 0 17 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 38 28 0 17 Jul 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 16 0 0 11 Jul 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 33 1 0 21 May 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan V. Oseledets 39 5 0 02 Feb 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 33 37 0 05 Jan 2022
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 35 14 0 22 Nov 2021
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks F. Nesti Giulio Rossolini Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 34 74 0 13 Aug 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 23 90 0 02 Mar 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 106 33 0 11 Jan 2021
DPAttack: Diffused Patch Attacks against Universal Object Detection Shudeng Wu Tao Dai Shutao Xia AAML 21 26 0 16 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 35 48 0 07 Oct 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 155 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 42 48 0 02 Sep 2020
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 34 46 0 16 May 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 19 34 0 05 Feb 2020
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 15 104 0 13 Nov 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces Xue Jiang Xiao Zhang Dongrui Wu AAML 15 16 0 07 Nov 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Seungju Cho Tae Joon Jun Byungsoo Oh Daeyoung Kim 19 31 0 14 Aug 2019
Universal Adversarial Audio Perturbations Sajjad Abdoli L. G. Hafemann Jérôme Rony Ismail Ben Ayed P. Cardinal Alessandro Lameiras Koerich AAML 25 51 0 08 Aug 2019
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN Guoping Zhao Mingyu Zhang Jiajun Liu Ji-Rong Wen AAML GAN 17 25 0 12 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 36 126 0 09 Jul 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 25 35 0 09 Jun 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 28 46 0 08 Apr 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 27 78 0 25 Oct 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 21 54 0 13 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 20 387 0 05 Aug 2018
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 31 351 0 06 Dec 2017
UPSET and ANGRI : Breaking High Performance Image Classifiers Sayantan Sarkar Ankan Bansal U. Mahbub Rama Chellappa AAML 22 108 0 04 Jul 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 288 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016