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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
On managing vulnerabilities in AI/ML systems Jonathan M. Spring April Galyardt A. Householder Nathan M. VanHoudnos 64 19 0 22 Jan 2021
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds B. Georgiev L. Franken Mayukh Mukherjee AAML 31 1 0 15 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 81 15 0 08 Jan 2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks Arno Blaas Stephen J. Roberts BDL AAML 85 2 0 07 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 139 101 0 04 Jan 2021
With False Friends Like These, Who Can Notice Mistakes? Lue Tao Lei Feng Jinfeng Yi Songcan Chen AAML 70 6 0 29 Dec 2020
Characterizing the Evasion Attackability of Multi-label Classifiers Zhuo Yang Yufei Han Xiangliang Zhang AAML 38 10 0 17 Dec 2020
Machine Learning for Detecting Data Exfiltration: A Review Bushra Sabir Faheem Ullah M. Babar R. Gaire AAML 70 33 0 17 Dec 2020
Mitigating Bias in Calibration Error Estimation Rebecca Roelofs Nicholas Cain Jonathon Shlens Michael C. Mozer 100 95 0 15 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 115 157 0 14 Dec 2020
Risk Management Framework for Machine Learning Security J. Breier A. Baldwin H. Balinsky Yang Liu AAML 31 3 0 09 Dec 2020
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic Peter Jachim Filipo Sharevski Paige Treebridge 32 27 0 04 Dec 2020
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks Mingfu Xue Chengxiang Yuan Can He Zhiyu Wu Yushu Zhang Zhe Liu Weiqiang Liu MIACV 16 12 0 27 Nov 2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness Yilun Jin Lixin Fan Kam Woh Ng Ce Ju Qiang Yang AAML OOD 27 1 0 27 Nov 2020
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods Victor Saase H. Wenz T. Ganslandt C. Groden M. Maros 21 5 0 25 Nov 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies AAML 70 16 0 23 Nov 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 87 29 0 21 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 71 409 0 18 Nov 2020
Adversarially Robust Classification based on GLRT Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani VLM AAML 58 4 0 16 Nov 2020
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors Edward Raff Bobby Filar James Holt 85 7 0 22 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification Erwin Quiring Lukas Pirch Michael Reimsbach Dan Arp Konrad Rieck AAML 45 13 0 19 Oct 2020
FADER: Fast Adversarial Example Rejection Francesco Crecchi Marco Melis Angelo Sotgiu D. Bacciu Battista Biggio AAML 57 15 0 18 Oct 2020
Mischief: A Simple Black-Box Attack Against Transformer Architectures Adrian de Wynter AAML 74 1 0 16 Oct 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing Zhen Xiang David J. Miller G. Kesidis 81 23 0 15 Oct 2020
Toward Few-step Adversarial Training from a Frequency Perspective H. Wang Cory Cornelius Brandon Edwards Jason Martin AAML 43 4 0 13 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing T. Tanay Aivar Sootla Matteo Maggioni P. Dokania Philip Torr A. Leonardis Greg Slabaugh 66 7 0 10 Oct 2020
Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift Federico Barbero Feargus Pendlebury Fabio Pierazzi Lorenzo Cavallaro 81 75 0 08 Oct 2020
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks Bedeuro Kim A. Abuadbba Yansong Gao Yifeng Zheng Muhammad Ejaz Ahmed Hyoungshick Kim Surya Nepal 22 4 0 08 Oct 2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation Emanuele La Malfa Min Wu Luca Laurenti Benjie Wang Anthony Hartshorn Marta Z. Kwiatkowska AAML 70 18 0 01 Oct 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 65 3 0 29 Sep 2020
Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities Tyler J. Shipp Daniel Clouse Michael J. De Lucia Metin B. Ahiskali Kai Steverson Jonathan M. Mullin Nathaniel D. Bastian 21 4 0 24 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 148 806 0 24 Sep 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 118 33 0 23 Sep 2020
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki Bartosz Krawczyk AAML 123 23 0 20 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 102 64 0 11 Sep 2020
A black-box adversarial attack for poisoning clustering Antonio Emanuele Cinà Alessandro Torcinovich Marcello Pelillo AAML 121 41 0 09 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models A. Tripathi Ashish Mishra AAML MedIm 40 10 0 08 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 57 28 0 06 Sep 2020
Examining Machine Learning for 5G and Beyond through an Adversarial Lens Muhammad Usama Rupendra Nath Mitra Inaam Ilahi Junaid Qadir M. Marina AAML 46 25 0 05 Sep 2020
Practical Cross-modal Manifold Alignment for Grounded Language A. Nguyen Luke E. Richards Gaoussou Youssouf Kebe Edward Raff Kasra Darvish Frank Ferraro Cynthia Matuszek 20 4 0 01 Sep 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 125 11 0 27 Aug 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems Sandhya Saisubramanian S. Zilberstein Ece Kamar 99 22 0 24 Aug 2020
Defending Regression Learners Against Poisoning Attacks Sandamal Weerasinghe S. Erfani T. Alpcan C. Leckie Justin Kopacz AAML 23 0 0 21 Aug 2020
Extrapolating false alarm rates in automatic speaker verification A. Sholokhov Tomi Kinnunen Ville Vestman Kong Aik Lee 42 1 0 08 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Trojaning Language Models for Fun and Profit Xinyang Zhang Zheng Zhang Shouling Ji Ting Wang SILM AAML 98 140 0 01 Aug 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 106 35 0 29 Jul 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML MLAU BDL 82 99 0 17 Jul 2020