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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

8 December 2017

Battista Biggio

Fabio Roli

AAML

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Papers citing "Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning"

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Title
Application of Markov Structure of Genomes to Outlier Identification and Read Classification A. Karr Jason Hauzel A. Porter M. Schaefer 24 3 0 24 Dec 2021
Measuring Quality of DNA Sequence Data via Degradation A. Karr Jason Hauzel A. Porter M. Schaefer 29 3 0 24 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 126 11 0 10 Dec 2021
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review Huda Ali Alatwi C. Morisset AAML 96 24 0 06 Dec 2021
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani AAML 50 4 0 04 Dec 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks Kaiyuan Liu Xingyu Li Yu-Rui Lai Hong Xie Hang Su Jiacheng Wang Chunxu Guo J. Guan Yi Zhou AAML 78 4 0 21 Nov 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 73 2 0 19 Nov 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 99 53 0 16 Nov 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 381 20 0 11 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 118 6 0 10 Nov 2021
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 86 9 0 05 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 49 21 0 04 Nov 2021
Availability Attacks Create Shortcuts Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu AAML 123 58 0 01 Nov 2021
Towards Robust Reasoning over Knowledge Graphs Zhaohan Xi Ren Pang Changjiang Li S. Ji Xiapu Luo Xusheng Xiao Ting Wang 33 0 0 27 Oct 2021
On the Security Risks of AutoML Ren Pang Zhaohan Xi S. Ji Xiapu Luo Ting Wang AAML 51 10 0 12 Oct 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision Julian Buchel Gregor Lenz Yalun Hu Sadique Sheik M. Sorbaro AAML 83 15 0 06 Oct 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 74 22 0 29 Sep 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 50 49 0 27 Sep 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 77 10 0 23 Sep 2021
Adversarial Transfer Attacks With Unknown Data and Class Overlap Luke E. Richards A. Nguyen Ryan Capps Steven D. Forsythe Cynthia Matuszek Edward Raff AAML 85 7 0 23 Sep 2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers H. Yu Shihfeng Zeng Teng Zhang Ing-Chao Lin Yier Jin AAML 400 1 0 22 Sep 2021
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis Zeyuan Yin Ye Yuan Panfeng Guo Pan Zhou FedML 65 7 0 22 Sep 2021
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects Enrico Meloni Matteo Tiezzi Luca Pasqualini Marco Gori S. Melacci AAML 54 3 0 17 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 213 741 0 04 Sep 2021
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 41 8 0 31 Aug 2021
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning Doha Al Bared M. Nassar AAML 26 1 0 31 Aug 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 87 87 0 30 Aug 2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 85 22 0 26 Aug 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 124 218 0 23 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 79 10 0 18 Aug 2021
When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples Maximilian Samsinger F. Merkle Pascal Schöttle Tomás Pevný AAML 79 3 0 17 Aug 2021
Robustness testing of AI systems: A case study for traffic sign recognition Christian Berghoff Pavol Bielik Matthias Neu Petar Tsankov Arndt von Twickel AAML 31 13 0 13 Aug 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models Ambrish Rawat Killian Levacher M. Sinn AAML 105 14 0 03 Aug 2021
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases E. Merlo Mira Marhaba Foutse Khomh Houssem Ben Braiek G. Antoniol 19 0 0 28 Jul 2021
TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence D. Bacciu S. Akarmazyan E. Armengaud Manlio Bacco George N. Bravos ... Konstantinos Tserpes Fulvio Tagliabo Jakob Valtl Iraklis Varlamis O. Veledar 62 24 0 14 Jul 2021
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection S. R. Galeano 71 18 0 13 Jul 2021
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks Florian Tambon G. Antoniol Foutse Khomh AAML 31 0 0 10 Jul 2021
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations Mohammad Nayeem Teli Se-Ryeong Oh AAML 38 2 0 10 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 131 278 0 09 Jul 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 34 21 0 05 Jul 2021
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems Ron Bitton Nadav Maman Inderjeet Singh Satoru Momiyama Yuval Elovici A. Shabtai 111 19 0 05 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 113 75 0 04 Jul 2021
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems Zixiu Wang Yiwen Guo Hu Ding OOD 59 7 0 30 Jun 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 112 82 0 30 Jun 2021
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 50 11 0 30 Jun 2021
Bio-Inspired Adversarial Attack Against Deep Neural Networks B. Xi Yujie Chen Fei Fan Zhan Tu Xinyan Deng AAML 41 1 0 30 Jun 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 44 29 0 30 Jun 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions Juan Shu B. Xi Charles A. Kamhoua AAML 100 0 0 30 Jun 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 99 85 0 30 Jun 2021
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack Gilad Gressel Niranjan Hegde A. Sreekumar Rishikumar Radhakrishnan Kalyani Harikumar Michael C. Darling Krishnashree Achuthan AAML 158 18 0 28 Jun 2021