Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 112 5 0 14 Jan 2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks Marissa Dotter Sherry Xie Keith Manville Josh Harguess Colin Busho Mikel Rodriguez AAML 37 2 0 08 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 157 152 0 01 Jan 2021
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces Linyang Li Yunfan Shao Demin Song Xipeng Qiu Xuanjing Huang AAML GAN 40 7 0 29 Dec 2020
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies Pourya Shamsolmoali Masoumeh Zareapoor Eric Granger Huiyu Zhou Ruili Wang M. E. Celebi Jie Yang EGVM 124 142 0 26 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 91 69 0 16 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 133 50 0 14 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 32 0 0 10 Dec 2020
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation Nikhil Kapoor Andreas Bär Serin Varghese Jan David Schneider Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 64 10 0 02 Dec 2020
Spatially Correlated Patterns in Adversarial Images Nandish Chattopadhyay Lionell Yip En Zhi Bryan Tan Bing Xing Anupam Chattopadhyay AAML 30 2 0 21 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 50 28 0 05 Nov 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 67 63 0 26 Oct 2020
Asymptotic Behavior of Adversarial Training in Binary Classification Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis AAML 79 16 0 26 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 80 41 0 25 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 92 142 0 22 Oct 2020
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems Akm Iqtidar Newaz Nur Imtiazul Haque A. Sikder M. Rahman A. S. Uluagac AAML 87 72 0 07 Oct 2020
Global Optimization of Objective Functions Represented by ReLU Networks Christopher A. Strong Haoze Wu Aleksandar Zeljić Kyle D. Julian Guy Katz Clark W. Barrett Mykel J. Kochenderfer AAML 57 33 0 07 Oct 2020
Second-Order NLP Adversarial Examples John X. Morris AAML 40 0 0 05 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 56 5 0 02 Oct 2020
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias AAML 52 16 0 30 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 66 19 0 21 Sep 2020
Information Laundering for Model Privacy Xinran Wang Yu Xiang Jun Gao Jie Ding 34 24 0 13 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 134 162 0 08 Sep 2020
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing Josh Kalin Matthew Ciolino David Noever Gerry V. Dozier AAML 18 9 0 07 Sep 2020
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance A. Lohn 51 13 0 02 Sep 2020
An Adversarial Attack Defending System for Securing In-Vehicle Networks Yi Li Jing Lin Kaiqi Xiong AAML 94 16 0 25 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples Julia Lust Alexandru Paul Condurache UQCV AAML AI4CE 31 8 0 21 Aug 2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services Basheer Qolomany Ihab Mohammed Ala I. Al-Fuqaha Mohsen Guizani Junaid Qadir 42 36 0 11 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 45 3 0 07 Aug 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 68 34 0 16 Jul 2020
Data from Model: Extracting Data from Non-robust and Robust Models Philipp Benz Chaoning Zhang Tooba Imtiaz In-So Kweon 65 7 0 13 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 21 0 0 10 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data A. Sadeghi Gang Wang Meng Ma G. Giannakis OOD FedML 24 4 0 07 Jul 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision Yifei Wang Dan Peng Furui Liu Zhenguo Li Zhitang Chen Jiansheng Yang AAML 26 1 0 02 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 99 135 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 100 52 0 01 Jul 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 52 10 0 01 Jul 2020
Black-box Certification and Learning under Adversarial Perturbations H. Ashtiani Vinayak Pathak Ruth Urner AAML 64 20 0 30 Jun 2020
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari Anish Madan Saket Anand Subhashis Banerjee AAML 35 1 0 18 Jun 2020
Provable Training Set Debugging for Linear Regression Xiaomin Zhang Xiaojin Zhu Po-Ling Loh 53 0 0 16 Jun 2020
Towards AI Forensics: Did the Artificial Intelligence System Do It? Johannes Schneider Frank Breitinger AAML 46 11 0 27 May 2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models Haochen Liu Zhiwei Wang Hanyu Wang Jiliang Tang AAML 95 15 0 27 May 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 41 6 0 20 May 2020
Attacking Recommender Systems with Augmented User Profiles Chen Lin Si Chen Hui Li Yanghua Xiao Lianyun Li Qiang Yang AAML 72 83 0 17 May 2020
A Review of Computer Vision Methods in Network Security Jiawei Zhao Rahat Masood Suranga Seneviratne AAML 44 48 0 07 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 156 305 0 30 Apr 2020
An Epistemic Approach to the Formal Specification of Statistical Machine Learning Yusuke Kawamoto CML 23 5 0 27 Apr 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 125 139 0 25 Apr 2020