Defensive Quantization: When Efficiency Meets Robustness

17 April 2019

Chuang Gan

Song Han

Papers citing "Defensive Quantization: When Efficiency Meets Robustness"

50 / 127 papers shown

Title
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression Jung-Woo Chang Mojan Javaheripi Seira Hidano F. Koushanfar 75 8 0 18 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML OOD 60 3 0 16 Mar 2022
Adversarial Detection without Model Information Abhishek Moitra Youngeun Kim Priyadarshini Panda AAML 46 1 0 09 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 80 4 0 03 Feb 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 50 0 0 27 Dec 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 71 66 0 04 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 95 124 0 01 Nov 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 44 7 0 28 Oct 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 125 30 0 26 Oct 2021
Defensive Tensorization Adrian Bulat Jean Kossaifi S. Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic AAML 30 4 0 26 Oct 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 125 11 0 25 Oct 2021
A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness Chang Song Riya Ranjan H. Li MQ 67 4 0 23 Oct 2021
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization Hanrui Wang Jiaqi Gu Yongshan Ding Zi-Chen Li Frederic T. Chong David Z. Pan Song Han 131 66 0 21 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 81 1 0 06 Oct 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 71 95 0 25 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 165 14 0 11 Sep 2021
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version) Nils Lukas Edward Jiang Xinda Li Florian Kerschbaum AAML 117 92 0 11 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 162 242 0 01 Aug 2021
Gradient-Based Interpretability Methods and Binarized Neural Networks Amy Widdicombe S. Julier FAtt 44 1 0 23 Jun 2021
DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays Abhishek Moitra Priyadarshini Panda AAML 34 6 0 22 Jun 2021
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration Qigong Sun Xiufang Li Fanhua Shang Hongying Liu Kan Yang L. Jiao Zhouchen Lin MQ 52 0 0 18 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 48 14 0 12 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 75 195 0 17 May 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 58 7 0 13 May 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 64 8 0 09 May 2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment Qigong Sun Xiufang Li Yan Ren Zhongjian Huang Xu Liu L. Jiao Fang Liu MQ 46 5 0 04 May 2021
On the Adversarial Robustness of Quantized Neural Networks Micah Gorsline James T. Smith Cory E. Merkel AAML 85 19 0 01 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 126 58 0 29 Apr 2021
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks M. Vemparala Alexander Frickenstein Nael Fasfous Lukas Frickenstein Qi Zhao ... Daniel Ehrhardt Yuankai Wu C. Unger N. S. Nagaraja W. Stechele AAML 33 7 0 14 Mar 2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Shlomo Dubnov Julian McAuley F. Koushanfar AAML 90 74 0 04 Mar 2021
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network Dengyu Wu Xinping Yi Xiaowei Huang 85 16 0 01 Mar 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 114 5 0 14 Jan 2021
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks Rachel Sterneck Abhishek Moitra Priyadarshini Panda AAML 28 8 0 05 Jan 2021
Improving Adversarial Robustness in Weight-quantized Neural Networks Chang Song Elias Fallon Hai Helen Li AAML 61 19 0 29 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 48 10 0 10 Dec 2020
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks Abhishek Moitra Priyadarshini Panda AAML 52 2 0 26 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 116 124 0 25 Nov 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 83 30 0 30 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 162 0 08 Sep 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 67 19 0 25 Aug 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 91 143 0 14 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 60 24 0 10 Jul 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks Sayeed Shafayet Chowdhury Chankyu Lee Kaushik Roy 60 59 0 15 Jun 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
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 69 3 0 01 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 78 8 0 31 May 2020
Position-based Scaled Gradient for Model Quantization and Pruning Jangho Kim Kiyoon Yoo Nojun Kwak MQ 38 7 0 22 May 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 73 87 0 27 Apr 2020