Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
Adversarial shape perturbations on 3D point clouds Daniel Liu Ronald Yu Hao Su 3DPC 33 12 0 16 Aug 2019
Convergence of Gradient Methods on Bilinear Zero-Sum Games Guojun Zhang Yaoliang Yu 17 37 0 15 Aug 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 33 126 0 14 Aug 2019
Adversarial Neural Pruning with Latent Vulnerability Suppression Divyam Madaan Jinwoo Shin Sung Ju Hwang AAML 12 3 0 12 Aug 2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi AAML 27 9 0 08 Aug 2019
Universal Adversarial Audio Perturbations Sajjad Abdoli L. G. Hafemann Jérôme Rony Ismail Ben Ayed P. Cardinal Alessandro Lameiras Koerich AAML 25 51 0 08 Aug 2019
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 25 165 0 07 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 30 18 0 07 Aug 2019
BlurNet: Defense by Filtering the Feature Maps Ravi Raju Mikko H. Lipasti AAML 42 15 0 06 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 28 17 0 06 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 20 3 0 05 Aug 2019
Adversarial Self-Defense for Cycle-Consistent GANs D. Bashkirova Ben Usman Kate Saenko GAN 17 43 0 05 Aug 2019
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve D. D. Thang Toshihiro Matsui AAML 19 4 0 05 Aug 2019
Exploring the Robustness of NMT Systems to Nonsensical Inputs Akshay Chaturvedi K. Abijith Utpal Garain AAML 24 12 0 03 Aug 2019
Robustifying deep networks for image segmentation Zheng Liu Jinnian Zhang Varun Jog Po-Ling Loh A. McMillan AAML OOD 17 7 0 01 Aug 2019
Adversarial Test on Learnable Image Encryption Maungmaung Aprilpyone Warit Sirichotedumrong Hitoshi Kiya 16 8 0 31 Jul 2019
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples Hossein Hosseini Sreeram Kannan Radha Poovendran AAML 17 18 0 28 Jul 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 29 1,053 0 27 Jul 2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin Kaiwen Wu Yaoliang Yu AAML 28 7 0 26 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 31 60 0 25 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 25 230 0 24 Jul 2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks Haichao Zhang Jianyu Wang 22 4 0 24 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 30 445 0 24 Jul 2019
Towards Logical Specification of Statistical Machine Learning Yusuke Kawamoto CML 13 7 0 24 Jul 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 25 130 0 24 Jul 2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Qian Huang Isay Katsman Horace He Zeqi Gu Serge J. Belongie Ser-Nam Lim SILM AAML 8 240 0 23 Jul 2019
Understanding Adversarial Robustness Through Loss Landscape Geometries Vinay Uday Prabhu Dian Ang Yap Joyce Xu John Whaley AAML 13 17 0 22 Jul 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks Xuankang Lin He Zhu R. Samanta Suresh Jagannathan AAML 27 28 0 17 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 27 11 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 109 1,428 0 16 Jul 2019
Latent Adversarial Defence with Boundary-guided Generation Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 23 4 0 16 Jul 2019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving Yulong Cao Chaowei Xiao Benjamin Cyr Yimeng Zhou Wonseok Park Sara Rampazzi Qi Alfred Chen Kevin Fu Z. Morley Mao AAML 26 531 0 16 Jul 2019
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning Bao Wang Stanley J. Osher AAML AI4CE 42 10 0 16 Jul 2019
Recovery Guarantees for Compressible Signals with Adversarial Noise J. Dhaliwal Kyle Hambrook AAML 24 2 0 15 Jul 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 32 3 0 15 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks Chirag Pabbaraju Prateek Jain 17 8 0 12 Jul 2019
Stateful Detection of Black-Box Adversarial Attacks Steven Chen Nicholas Carlini D. Wagner AAML MLAU 19 119 0 12 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Towards Robust, Locally Linear Deep Networks Guang-He Lee David Alvarez-Melis Tommi Jaakkola ODL 27 48 0 07 Jul 2019
Affine Disentangled GAN for Interpretable and Robust AV Perception Letao Liu Martin Saerbeck Justin Dauwels 22 1 0 06 Jul 2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin Nicholas Frosst S. Sabour Colin Raffel G. Cottrell Geoffrey E. Hinton GAN AAML 24 71 0 05 Jul 2019
Adversarial Robustness through Local Linearization Chongli Qin James Martens Sven Gowal Dilip Krishnan Krishnamurthy Dvijotham Alhussein Fawzi Soham De Robert Stanforth Pushmeet Kohli AAML 34 305 0 04 Jul 2019
Variance Reduction for Matrix Games Y. Carmon Yujia Jin Aaron Sidford Kevin Tian 27 63 0 03 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 43 475 0 03 Jul 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 27 190 0 02 Jul 2019
Treant: Training Evasion-Aware Decision Trees Stefano Calzavara Claudio Lucchese Gabriele Tolomei S. Abebe S. Orlando AAML 30 41 0 02 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation Nader Asadi Amirm. Sarfi Mehrdad Hosseinzadeh Sahba Tahsini M. Eftekhari AAML 23 2 0 01 Jul 2019
Accurate, reliable and fast robustness evaluation Wieland Brendel Jonas Rauber Matthias Kümmerer Ivan Ustyuzhaninov Matthias Bethge AAML OOD 13 113 0 01 Jul 2019
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network" Roland S. Zimmermann AAML 16 23 0 01 Jul 2019