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 Embedding: A robust and elusive Steganography and Watermarking technique Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon WIGM AAML 23 7 0 14 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 21 32 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Improving Robustness of Task Oriented Dialog Systems Arash Einolghozati Sonal Gupta Mrinal Mohit Rushin Shah 35 22 0 12 Nov 2019
On Robustness to Adversarial Examples and Polynomial Optimization Pranjal Awasthi Abhratanu Dutta Aravindan Vijayaraghavan OOD AAML 14 31 0 12 Nov 2019
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory Arash Rahnama A. Nguyen Edward Raff AAML 24 20 0 12 Nov 2019
Learning From Brains How to Regularize Machines Zhe Li Wieland Brendel Edgar Y. Walker Erick Cobos Taliah Muhammad Jacob Reimer Matthias Bethge Fabian H. Sinz Xaq Pitkow A. Tolias OOD AAML 29 62 0 11 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,368 0 11 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 25 31 0 11 Nov 2019
Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples Marc Khoury AAML 23 1 0 09 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 43 559 0 08 Nov 2019
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems Giulio Zizzo C. Hankin S. Maffeis Kevin Jones AAML 24 16 0 08 Nov 2019
Discovering Invariances in Healthcare Neural Networks M. T. Bahadori Layne Price OOD 21 0 0 08 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 44 68 0 06 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 18 143 0 06 Nov 2019
Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version] Jacopo Cortellazzi Feargus Pendlebury Daniel Arp Erwin Quiring Fabio Pierazzi Lorenzo Cavallaro AAML 35 0 0 05 Nov 2019
Coverage Guided Testing for Recurrent Neural Networks Wei Huang Youcheng Sun Xing-E. Zhao James Sharp Wenjie Ruan Jie Meng Xiaowei Huang AAML 40 47 0 05 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 19 34 0 05 Nov 2019
Visual Privacy Protection via Mapping Distortion Yiming Li Peidong Liu Yong Jiang Shutao Xia 36 10 0 05 Nov 2019
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models Ren Pang Hua Shen Xinyang Zhang S. Ji Yevgeniy Vorobeychik Xiaopu Luo Alex Liu Ting Wang AAML 19 2 0 05 Nov 2019
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 25 31 0 04 Nov 2019
Persistency of Excitation for Robustness of Neural Networks Kamil Nar S. Shankar Sastry AAML 19 10 0 04 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 28 114 0 03 Nov 2019
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 19 194 0 03 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 19 40 0 03 Nov 2019
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks Shai Rozenberg G. Elidan Ran El-Yaniv AAML 14 1 0 03 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 10 64 0 31 Oct 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 35 263 0 31 Oct 2019
Enhancing Certifiable Robustness via a Deep Model Ensemble Huan Zhang Minhao Cheng Cho-Jui Hsieh 33 9 0 31 Oct 2019
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 72 30 0 31 Oct 2019
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization Rana Abou-Khamis Omair Shafiq Ashraf Matrawy AAML 16 40 0 30 Oct 2019
Fault Tolerance of Neural Networks in Adversarial Settings Vasisht Duddu N. Pillai D. V. Rao V. Balas SILM AAML 27 11 0 30 Oct 2019
Efficiently avoiding saddle points with zero order methods: No gradients required Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras 28 32 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 25 91 0 28 Oct 2019
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild Yosi Shrem Matthew A. Goldrick Joseph Keshet 6 12 0 27 Oct 2019
Adversarial Defense via Local Flatness Regularization Jia Xu Yiming Li Yong-jia Jiang Shutao Xia AAML 25 17 0 27 Oct 2019
Understanding and Quantifying Adversarial Examples Existence in Linear Classification Xupeng Shi A. Ding AAML 22 3 0 27 Oct 2019
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples Mauro Barni Ehsan Nowroozi B. Tondi Bowen Zhang AAML 16 17 0 25 Oct 2019
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs Koyel Mukherjee Alind Khare Ashish Verma 27 15 0 25 Oct 2019
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? Ali Shafahi Amin Ghiasi Furong Huang Tom Goldstein AAML 27 40 0 25 Oct 2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries Xingxing Zhang Shupeng Gui Zhenfeng Zhu Yao Zhao Ji Liu VLM 22 5 0 24 Oct 2019
Diametrical Risk Minimization: Theory and Computations Matthew Norton J. Royset 38 19 0 24 Oct 2019
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks Alexander Levine S. Feizi AAML 12 61 0 23 Oct 2019
A Useful Taxonomy for Adversarial Robustness of Neural Networks L. Smith AAML 36 6 0 23 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 13 2 0 22 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 52 89 0 21 Oct 2019
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes Yujia Qin Fanchao Qi Sicong Ouyang Zhiyuan Liu Cheng Yang Yasheng Wang Qun Liu Maosong Sun 28 5 0 20 Oct 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification Songxiang Liu Haibin Wu Hung-yi Lee Helen Meng AAML 36 65 0 19 Oct 2019
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers? Simran Kaur Jeremy M. Cohen Zachary Chase Lipton OOD AAML 27 65 0 18 Oct 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning Yasaman Esfandiari Aditya Balu K. Ebrahimi Umesh Vaidya N. Elia Soumik Sarkar OOD 28 3 0 18 Oct 2019