Model Compression with Adversarial Robustness: A Unified Optimization Framework

10 February 2019

Papers citing "Model Compression with Adversarial Robustness: A Unified Optimization Framework"

33 / 33 papers shown

Title
Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations Maozhe Zhao Shixuan Liu Fan Wu Guihai Chen 36 0 0 30 Apr 2025
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 38 0 0 31 Oct 2024
Pruning for Robust Concept Erasing in Diffusion Models Tianyun Yang Juan Cao Chang Xu 40 13 0 26 May 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 64 0 0 08 Feb 2024
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 41 16 0 19 Aug 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 37 9 0 02 Jun 2023
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
Robust Lottery Tickets for Pre-trained Language Models Rui Zheng Rong Bao Yuhao Zhou Di Liang Sirui Wang Wei Wu Tao Gui Qi Zhang Xuanjing Huang AAML 32 13 0 06 Nov 2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering Q. Si Yuanxin Liu Zheng Lin Peng Fu Weiping Wang VLM 42 1 0 26 Oct 2022
Can pruning improve certified robustness of neural networks? Zhangheng Li Tianlong Chen Linyi Li Bo-wen Li Zhangyang Wang AAML 21 12 0 15 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 34 118 0 29 May 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 27 123 0 27 May 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 31 1 0 14 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 32 4 0 03 Feb 2022
A Secure and Efficient Federated Learning Framework for NLP Jieren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding FedML 77 22 0 28 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 19 102 0 10 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 24 0 0 27 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 55 17 0 06 Dec 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 21 7 0 28 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 32 107 0 26 Oct 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Katie Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 52 12 0 11 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 44 0 07 Sep 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 31 31 0 09 Jun 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 37 22 0 30 Apr 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 42 71 0 04 Mar 2021
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 27 5 0 18 Dec 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 30 228 0 26 Oct 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 24 81 0 15 Jun 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Yang Katie Zhao Xiaohan Chen Yue Wang Chaojian Li Haoran You Y. Fu Yuan Xie Zhangyang Wang Yingyan Lin MQ 40 43 0 07 May 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 18 246 0 28 Mar 2020
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,591 0 27 Nov 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 303 3,115 0 04 Nov 2016