v1v2 (latest)

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

8 December 2017

Battista Biggio

Fabio Roli

AAML

ArXiv (abs)PDF HTML

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

40 / 590 papers shown

Title
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks Davide Maiorca Battista Biggio Giorgio Giacinto AAML 73 47 0 02 Nov 2018
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters David J. Miller Xinyi Hu Zhen Xiang G. Kesidis 36 4 0 31 Oct 2018
Law and Adversarial Machine Learning Ramnath Kumar David R. O'Brien Kendra Albert Salome Vilojen AILaw AAML 37 12 0 25 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 80 27 0 23 Oct 2018
Average Margin Regularization for Classifiers Matt Olfat A. Aswani OOD AAML 23 1 0 09 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 82 15 0 30 Sep 2018
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces Chia-Yi Hsu Pei-Hsuan Lu Pin-Yu Chen Chia-Mu Yu AAML 70 1 0 24 Sep 2018
$Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR$ Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR Pin-Yu Chen B. Vinzamuri Sijia Liu AAML OOD 69 7 0 24 Sep 2018
Adversarial Binaries for Authorship Identification Xiaozhu Meng B. Miller S. Jha AAML 61 11 0 21 Sep 2018
Robustness Guarantees for Bayesian Inference with Gaussian Processes L. Cardelli Marta Kwiatkowska Luca Laurenti A. Patané AAML 72 52 0 17 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
Humans can decipher adversarial images Zhenglong Zhou C. Firestone AAML 68 122 0 11 Sep 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 60 11 0 08 Sep 2018
Reinforcement Learning under Threats Víctor Gallego Roi Naveiro D. Insua AAML 80 26 0 05 Sep 2018
Adversarial Vision Challenge Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi M. Salathé Sharada Mohanty Matthias Bethge AAML 79 58 0 06 Aug 2018
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 94 360 0 20 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 107 229 0 18 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 73 23 0 09 Jul 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
POTs: Protective Optimization Technologies B. Kulynych R. Overdorf Carmela Troncoso Seda F. Gürses 112 97 0 07 Jun 2018
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 90 55 0 05 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 116 1,786 0 30 May 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks Chun-Chen Tu Pai-Shun Ting Pin-Yu Chen Sijia Liu Huan Zhang Jinfeng Yi Cho-Jui Hsieh Shin-Ming Cheng MLAU AAML 94 399 0 30 May 2018
On the Effectiveness of System API-Related Information for Android Ransomware Detection Michele Scalas Davide Maiorca F. Mercaldo C. A. Visaggio F. Martinelli Giorgio Giacinto AAML 33 77 0 24 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 105 445 0 07 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 202 797 0 30 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 85 232 0 15 Apr 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 101 764 0 01 Apr 2018
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables Bojan Kolosnjaji Ambra Demontis Battista Biggio Davide Maiorca Giorgio Giacinto Claudia Eckert Fabio Roli AAML 70 318 0 12 Mar 2018
Explaining Black-box Android Malware Detection Marco Melis Davide Maiorca Battista Biggio Giorgio Giacinto Fabio Roli AAML FAtt 49 44 0 09 Mar 2018
The Hidden Vulnerability of Distributed Learning in Byzantium El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault AAML FedML 79 768 0 22 Feb 2018
Adversarial classification: An adversarial risk analysis approach Roi Naveiro A. Redondo D. Insua Fabrizio Ruggeri AAML 38 36 0 21 Feb 2018
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning Christopher Frederickson Michael Moore Glenn Dawson R. Polikar AAML 62 33 0 20 Feb 2018
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware Abdullah Al-Dujaili Alex Huang Erik Hemberg Una-May O’Reilly AAML 107 188 0 09 Jan 2018
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression Martin Gubri AAML 15 0 0 06 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 84 196 0 31 Dec 2017
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time David J. Miller Yujia Wang G. Kesidis AAML 55 44 0 18 Dec 2017
Hardening Quantum Machine Learning Against Adversaries N. Wiebe Ramnath Kumar AAML 68 20 0 17 Nov 2017
Adversarial Detection of Flash Malware: Limitations and Open Issues Davide Maiorca Ambra Demontis Battista Biggio Maria Elena Chiappe Giorgio Giacinto AAML 41 24 0 27 Oct 2017