v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,351 papers shown

Title
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 76 41 0 14 May 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 72 166 0 13 May 2018
Curriculum Adversarial Training Qi-Zhi Cai Min Du Chang-rui Liu Basel Alomair AAML 91 165 0 13 May 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 224 104 0 10 May 2018
On Visual Hallmarks of Robustness to Adversarial Malware Alex Huang Abdullah Al-Dujaili Erik Hemberg Una-May O’Reilly AAML 69 7 0 09 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text Motoki Sato Jun Suzuki Hiroyuki Shindo Yuji Matsumoto 66 192 0 08 May 2018
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment Thomio Watanabe D. Wolf 27 8 0 07 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 107 445 0 07 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 76 271 0 06 May 2018
A Counter-Forensic Method for CNN-Based Camera Model Identification David Guera Yu Wang Luca Bondi Paolo Bestagini Stefano Tubaro Edward J. Delp AAML 76 52 0 06 May 2018
Siamese networks for generating adversarial examples Mandar M. Kulkarni A. Abubakar GAN AAML 21 4 0 03 May 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 86 116 0 03 May 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 85 19 0 02 May 2018
Towards Interpretable Face Recognition Bangjie Yin Luan Tran Haoxiang Li Xiaohui Shen Xiaoming Liu CVBM 82 83 0 02 May 2018
Randomly weighted CNNs for (music) audio classification Jordi Pons Xavier Serra 79 86 0 01 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 205 797 0 30 Apr 2018
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems Amin Ghafouri Yevgeniy Vorobeychik X. Koutsoukos AAML 38 46 0 30 Apr 2018
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates Taku Kudo 287 1,173 0 29 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 88 478 0 28 Apr 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 101 519 0 28 Apr 2018
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation Hao-Wen Dong Yi-Hsuan Yang GAN MGen 96 94 0 25 Apr 2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba OODD 61 6 0 24 Apr 2018
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 78 10 0 23 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 187 1,208 0 23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 66 21 0 23 Apr 2018
Word Embedding Perturbation for Sentence Classification Dongxu Zhang Zhichao Yang 64 43 0 22 Apr 2018
Decoupled Networks Weiyang Liu Ziqiang Liu Zhiding Yu Bo Dai Rongmei Lin Yisen Wang James M. Rehg Le Song OOD 66 70 0 22 Apr 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 423 934 0 21 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 106 322 0 20 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 99 97 0 20 Apr 2018
Learning More Robust Features with Adversarial Training Shuangtao Li Yuanke Chen Yanlin Peng Lin Bai OOD AAML 69 23 0 20 Apr 2018
Survey of Face Detection on Low-quality Images Yuqian Zhou Ding Liu Thomas Huang AAML CVBM 63 59 0 19 Apr 2018
Robustness via Deep Low-Rank Representations Amartya Sanyal Varun Kanade Philip Torr P. Dokania OOD 137 17 0 19 Apr 2018
Attacking Convolutional Neural Network using Differential Evolution Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 62 45 0 19 Apr 2018
Semantic Adversarial Deep Learning Sanjit A. Seshia S. Jha T. Dreossi AAML SILM 90 91 0 19 Apr 2018
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components Cumhur Erkan Tuncali Georgios Fainekos Hisahiro Ito J. Kapinski 92 183 0 18 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 89 530 0 18 Apr 2018
Robust Machine Comprehension Models via Adversarial Training Yicheng Wang Joey Tianyi Zhou AAML 84 117 0 17 Apr 2018
Sparse Unsupervised Capsules Generalize Better D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 66 49 0 17 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 359 722 0 17 Apr 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 213 429 0 16 Apr 2018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm Wenjie Ruan Min Wu Youcheng Sun Xiaowei Huang Daniel Kroening Marta Kwiatkowska AAML 65 39 0 16 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 85 233 0 15 Apr 2018
On the Limitation of MagNet Defense against $L_1$ -based Adversarial Examples Pei-Hsuan Lu Pin-Yu Chen Kang-Cheng Chen Chia-Mu Yu AAML 114 19 0 14 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 161 493 0 12 Apr 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 70 23 0 10 Apr 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks Pu Zhao Sijia Liu Yanzhi Wang Xinyu Lin AAML 72 37 0 09 Apr 2018
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations Alex Lamb Jonathan Binas Anirudh Goyal Dmitriy Serdyuk Sandeep Subramanian Ioannis Mitliagkas Yoshua Bengio OOD 94 43 0 07 Apr 2018
The Loss Surface of XOR Artificial Neural Networks D. Mehta Xiaojun Zhao Edgar A. Bernal D. Wales 165 19 0 06 Apr 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 116 442 0 06 Apr 2018