Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

8 May 2017

Papers citing "Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression"

50 / 161 papers shown

Title
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 52 8 0 16 Dec 2021
A Frequency Perspective of Adversarial Robustness Shishira R. Maiya Max Ehrlich Vatsal Agarwal Ser-Nam Lim Tom Goldstein Abhinav Shrivastava AAML 72 40 0 26 Oct 2021
Moiré Attack (MA): A New Potential Risk of Screen Photos Dantong Niu Ruohao Guo Yisen Wang AAML 63 2 0 20 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 89 14 0 12 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 70 24 0 31 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 80 92 0 20 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 155 240 0 01 Aug 2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features Hui Liu Bo Zhao Minzhi Ji Yuefeng Peng Jiabao Guo Peng Liu AAML 56 2 0 19 Jul 2021
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning Yihao Huang Qing Guo Felix Juefei Xu Lei Ma Weikai Miao Yang Liu G. Pu AAML 63 15 0 14 Jul 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 41 3 0 25 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 84 32 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 53 60 0 07 Jun 2021
Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 61 29 0 19 Apr 2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression Rehana Mahfuz R. Sahay Aly El Gamal AAML 36 3 0 03 Apr 2021
Cyclic Defense GAN Against Speech Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 93 7 0 26 Mar 2021
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 51 16 0 15 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 136 23 0 12 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling Md. Shohidul Islam Ihsen Alouani Khaled N. Khasawneh AAML 41 1 0 11 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 65 9 0 01 Mar 2021
Automated Discovery of Adaptive Attacks on Adversarial Defenses Chengyuan Yao Pavol Bielik Petar Tsankov Martin Vechev AAML 99 24 0 23 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 114 25 0 04 Feb 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 81 15 0 08 Jan 2021
On the Limitations of Denoising Strategies as Adversarial Defenses Zhonghan Niu Zhaoxi Chen Linyi Li Yubin Yang Yue Liu Jinfeng Yi AAML 66 14 0 17 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 71 17 0 14 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 33 6 0 08 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 64 2 0 08 Dec 2020
Content-Adaptive Pixel Discretization to Improve Model Robustness Ryan Feng Wu-chi Feng Atul Prakash AAML 26 0 0 03 Dec 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana Wei Liu D. Glance Ajmal Mian AAML 121 5 0 05 Nov 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 72 58 0 24 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 71 13 0 15 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 129 162 0 08 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 43 3 0 02 Sep 2020
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 53 14 0 18 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 75 6 0 13 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 113 73 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 75 88 0 05 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 55 35 0 03 Aug 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 42 24 0 19 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 98 39 0 01 Jul 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 88 38 0 13 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 76 2 0 12 Jun 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 51 4 0 24 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence Christian Berghoff Matthias Neu Arndt von Twickel AAML 104 25 0 18 Mar 2020
Search Space of Adversarial Perturbations against Image Filters D. D. Thang Toshihiro Matsui AAML 21 1 0 05 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 53 16 0 04 Mar 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 55 10 0 25 Feb 2020
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin Peter Chin AAML 44 3 0 19 Feb 2020
Block Switching: A Stochastic Approach for Deep Learning Security Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin S. Chin AAML 23 13 0 18 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 109 502 0 12 Feb 2020
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Malhar Jere F. Koushanfar Julian McAuley AAML 100 154 0 09 Feb 2020