Adversarial Machine Learning -- Industry Perspectives

4 February 2020

Papers citing "Adversarial Machine Learning -- Industry Perspectives"

27 / 27 papers shown

Title
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection Jialin Lu Junjie Shan Ziqi Zhao Ka-Ho Chow AAML 108 0 0 09 Mar 2025
Security by Design Issues in Autonomous Vehicles Martin Higgins D. N. Jha David Blundell D. Wallom 55 0 0 07 Jan 2025
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg Roy Ganz Nir Rosenfeld AAML 64 0 0 17 Jun 2024
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 91 29 0 14 Mar 2022
PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li Zhirui Chen Yue Zhao Zekun Tong Yabang Zhao A. Lim Qiufeng Wang 3DPC AAML 88 52 0 30 Mar 2021
Failure Modes in Machine Learning Systems Ramnath Kumar David R. O'Brien Kendra Albert Salomé Viljöen Jeffrey Snover AAML 16 50 0 25 Nov 2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 14 65 0 31 Oct 2019
The Deepfake Detection Challenge (DFDC) Preview Dataset Brian Dolhansky Russ Howes Ben Pflaum Nicole Baram Cristian Canton Ferrer 52 494 0 19 Oct 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 107 3,399 0 28 Mar 2019
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 73 227 0 18 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 67 457 0 03 Jul 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 34 179 0 28 Jun 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 76 689 0 25 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 77 757 0 01 Apr 2018
Security Risks in Deep Learning Implementations Qixue Xiao Kang Li Deyue Zhang Weilin Xu SILM 30 68 0 29 Nov 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 95 250 0 27 Nov 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 72 1,758 0 22 Aug 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 103 1,851 0 20 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 290 1,849 0 03 Feb 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 67 472 0 11 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library Nicolas Papernot Fartash Faghri Nicholas Carlini Ian Goodfellow Reuben Feinman ... David Berthelot P. Hendricks Jonas Rauber Rujun Long Patrick McDaniel AAML 49 512 0 03 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 76 1,798 0 09 Sep 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 147 2,371 0 21 Jun 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 81 1,735 0 24 May 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 176 18,922 0 20 Dec 2014
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems J. Twycross U. Aickelin Amanda M. Whitbrook 60 22 0 18 Jun 2010