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

Title
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP SignaturesIEEE International Joint Conference on Neural Network (IJCNN), 2019 Gil Fidel Ron Bitton A. Shabtai FAtt GAN 139 130 0 08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based DefensesInternational Conference on Learning Representations (ICLR), 2019 Uyeong Jang Susmit Jha S. Jha AAML 256 14 0 07 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 191 34 0 06 Sep 2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation Yu-Lun Hsieh Minhao Cheng Da-Cheng Juan Wei Wei W. Hsu Cho-Jui Hsieh AAML 107 2 0 06 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? Alfred Laugros A. Caplier Matthieu Ospici AAML 140 44 0 04 Sep 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound PropagationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Po-Sen Huang Robert Stanforth Johannes Welbl Chris Dyer Dani Yogatama Sven Gowal Krishnamurthy Dvijotham Pushmeet Kohli AAML 212 174 0 03 Sep 2019
High Accuracy and High Fidelity Extraction of Neural NetworksUSENIX Security Symposium (USENIX Security), 2019 Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 333 423 0 03 Sep 2019
Certified Robustness to Adversarial Word SubstitutionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Robin Jia Aditi Raghunathan Kerem Göksel Abigail Z. Jacobs AAML 476 321 0 03 Sep 2019
Metric Learning for Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2019 Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 273 199 0 03 Sep 2019
Defeating Misclassification Attacks Against Transfer LearningIEEE Transactions on Dependable and Secure Computing (TDSC), 2019 Bang Wu Shuo Wang Lizhen Qu Cong Wang Carsten Rudolph Xiangwen Yang AAML 127 7 0 29 Aug 2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and RobustnessIEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2019 Ling Liu Wenqi Wei Ka-Ho Chow Margaret Loper Emre Gursoy Stacey Truex Yanzhao Wu UQCV AAML FedML 153 68 0 29 Aug 2019
Adversarial Edit Attacks for Tree Data Benjamin Paassen AAML 74 0 0 25 Aug 2019
Improving Adversarial Robustness via Attention and Adversarial Logit PairingFrontiers in Artificial Intelligence (FAI), 2019 Dou Goodman Xingjian Li Ji Liu Jun Huan Tao Wei AAML 110 8 0 23 Aug 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID systemInternational Conference on Pattern Recognition (ICPR), 2019 Stepan Alekseevich Komkov Aleksandr Petiushko AAML CVBM 172 333 0 23 Aug 2019
Testing Robustness Against Unforeseen Adversaries Maximilian Kaufmann Daniel Kang Yi Sun Steven Basart Xuwang Yin ... Adam Dziedzic Franziska Boenisch Tom B. Brown Jacob Steinhardt Dan Hendrycks AAML 299 0 0 21 Aug 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu AAML 151 17 0 21 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for VisionNeural Information Processing Systems (NeurIPS), 2019 Gamaleldin F. Elsayed Simon Kornblith Quoc V. Le VLM 204 74 0 20 Aug 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic DefensesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Tianlin Li Siyue Wang Pin-Yu Chen Yanzhi Wang Brian Kulis Xue Lin S. Chin AAML 139 45 0 20 Aug 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited QueriesUSENIX Security Symposium (USENIX Security), 2019 Fnu Suya Jianfeng Chi David Evans Yuan Tian AAML 390 94 0 19 Aug 2019
Adversarial Defense by Suppressing High-frequency Components Zhendong Zhang Cheolkon Jung X. Liang 190 26 0 19 Aug 2019
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiersExpert systems with applications (ESWA), 2019 Mahmoud Albardan John Klein O. Colot 162 5 0 18 Aug 2019
Implicit Deep LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2019 L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 331 198 0 17 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2019 Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 633 694 0 17 Aug 2019
Adversarial shape perturbations on 3D point clouds Daniel Liu Ronald Yu Hao Su 3DPC 204 12 0 16 Aug 2019
Convergence of Gradient Methods on Bilinear Zero-Sum GamesInternational Conference on Learning Representations (ICLR), 2019 Guojun Zhang Yaoliang Yu 211 37 0 15 Aug 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 206 145 0 14 Aug 2019
Adversarial Neural Pruning with Latent Vulnerability Suppression Divyam Madaan Jinwoo Shin Sung Ju Hwang AAML 203 3 0 12 Aug 2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi AAML 155 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 276 58 0 08 Aug 2019
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 142 190 0 07 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 131 18 0 07 Aug 2019
BlurNet: Defense by Filtering the Feature Maps Ravi Raju Mikko H. Lipasti AAML 162 16 0 06 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial AttacksACM Multimedia (ACM MM), 2019 Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 112 19 0 06 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metricsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 150 3 0 05 Aug 2019
Adversarial Self-Defense for Cycle-Consistent GANsNeural Information Processing Systems (NeurIPS), 2019 D. Bashkirova Ben Usman Kate Saenko GAN 114 44 0 05 Aug 2019
Automated Detection System for Adversarial Examples with High-Frequency Noises SieveInternational Conference on Cryptography and Security Systems (ICCSS), 2019 D. D. Thang Toshihiro Matsui AAML 77 4 0 05 Aug 2019
Exploring the Robustness of NMT Systems to Nonsensical Inputs Akshay Chaturvedi K. Abijith Utpal Garain AAML 166 12 0 03 Aug 2019
Robustifying deep networks for image segmentation Zheng Liu Jinnian Zhang Varun Jog Po-Ling Loh A. McMillan AAML OOD 122 7 0 01 Aug 2019
Adversarial Test on Learnable Image EncryptionGlobal Conference on Consumer Electronics (GCE), 2019 Maungmaung Aprilpyone Warit Sirichotedumrong Hitoshi Kiya 96 9 0 31 Jul 2019
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples Hossein Hosseini Sreeram Kannan Radha Poovendran AAML 118 19 0 28 Jul 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and EntailmentAAAI Conference on Artificial Intelligence (AAAI), 2019 Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 685 1,242 0 27 Jul 2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin Kaiwen Wu Yaoliang Yu AAML 108 9 0 26 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 219 69 0 25 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2019 Haichao Zhang Jianyu Wang AAML 324 238 0 24 Jul 2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks Haichao Zhang Jianyu Wang 173 4 0 24 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis SystemsPattern Recognition (Pattern Recognit.), 2019 Jiabo He Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 285 513 0 24 Jul 2019
Towards Logical Specification of Statistical Machine LearningIEEE International Conference on Software Engineering and Formal Methods (SEFM), 2019 Yusuke Kawamoto CML 172 7 0 24 Jul 2019
Towards Adversarially Robust Object DetectionIEEE International Conference on Computer Vision (ICCV), 2019 Haichao Zhang Jianyu Wang AAML ObjD 199 148 0 24 Jul 2019
Enhancing Adversarial Example Transferability with an Intermediate Level AttackIEEE International Conference on Computer Vision (ICCV), 2019 Qian Huang Isay Katsman Horace He Zeqi Gu Serge J. Belongie Ser-Nam Lim SILM AAML 312 276 0 23 Jul 2019
Understanding Adversarial Robustness Through Loss Landscape Geometries Vinay Uday Prabhu Dian Ang Yap Joyce Xu John Whaley AAML 115 19 0 22 Jul 2019