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
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs Lucas Maisonnave Cyril Moineau Olivier Bichler Fabrice Rastello MQ 122 0 0 18 Apr 2025
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations Xiao Wang Hendrik Borras Bernhard Klein Holger Fröning 120 0 0 20 Mar 2025
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix Junbiao Pang Tianyang Cai 132 1 0 14 Mar 2025
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 92 0 0 31 Oct 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 72 3 0 06 May 2024
QGen: On the Ability to Generalize in Quantization Aware Training Mohammadhossein Askarihemmat Ahmadreza Jeddi Reyhane Askari Hemmat Ivan Lazarevich Alexander Hoffman Sudhakar Sah Ehsan Saboori Yvon Savaria Jean-Pierre David MQ 99 1 0 17 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 83 0 0 08 Apr 2024
Investigating the Impact of Quantization on Adversarial Robustness Qun Li Yuan Meng Chen Tang Jiacheng Jiang Zhi Wang 79 5 0 08 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 64 0 0 09 Mar 2024
Robustness to distribution shifts of compressed networks for edge devices Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 67 0 0 22 Jan 2024
Machine Translation Testing via Syntactic Tree Pruning Quanjun Zhang Juan Zhai Chunrong Fang Jiawei Liu Weisong Sun Haichuan Hu Qingyu Wang 60 3 0 01 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 86 0 0 21 Dec 2023
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks Bingyin Zhao Yingjie Lao AAML 65 1 0 17 Dec 2023
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees Anahita Baninajjar Ahmed Rezine A. Aminifar AAML 53 1 0 15 Dec 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 63 0 0 30 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 138 3 0 27 Nov 2023
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures Anastasiia Prutianova Alexey Zaytsev Chung-Kuei Lee Fengyu Sun Ivan Koryakovskiy MQ 66 0 0 09 Nov 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 146 14 0 26 Oct 2023
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda AAML 51 1 0 05 Sep 2023
RobustMQ: Benchmarking Robustness of Quantized Models Yisong Xiao Aishan Liu Tianyuan Zhang Haotong Qin Jinyang Guo Xianglong Liu MQ 79 18 0 04 Aug 2023
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks Naman Maheshwari Nicholas Malaya Scott A. Moe J. Kulkarni S. Gurumurthi AAML 30 0 0 24 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification Xinke Li Junchi Lu Henghui Ding Changsheng Sun Qiufeng Wang Chee Yeow Meng 3DPC 93 6 0 20 Jul 2023
Intriguing Properties of Quantization at Scale Arash Ahmadian Saurabh Dash Hongyu Chen Bharat Venkitesh Stephen Gou Phil Blunsom Ahmet Üstün Sara Hooker MQ 121 38 0 30 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li Youngeun Kim Hyoungseob Park Priyadarshini Panda 119 16 0 25 Apr 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 58 6 0 25 Apr 2023
Benchmarking the Robustness of Quantized Models Yisong Xiao Tianyuan Zhang Shunchang Liu Haotong Qin AAML MQ 69 2 0 08 Apr 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 56 3 0 29 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 65 3 0 03 Mar 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 119 201 0 19 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 104 37 0 26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 97 2 0 15 Jan 2023
QEBVerif: Quantization Error Bound Verification of Neural Networks Yedi Zhang Fu Song Jun Sun MQ 99 12 0 06 Dec 2022
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 65 8 0 04 Dec 2022
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation Amro Eldebiky Grace Li Zhang G. Böcherer Bing Li Ulf Schlichtmann 75 17 0 27 Nov 2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML OOD 152 2 0 02 Nov 2022
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction Edoardo Manino I. Bessa Lucas C. Cordeiro 66 1 0 21 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 91 1 0 17 Oct 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 68 29 0 20 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural Networks Benjamin Leblanc Pascal Germain FAtt 103 1 0 07 Sep 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization Sein Park Yeongsang Jang Eunhyeok Park MQ 62 2 0 31 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 84 19 0 13 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 64 61 0 30 Jun 2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning Jonah O'Brien Weiss Tiago A. O. Alves S. Kundu AAML 28 0 0 15 Jun 2022
Searching Similarity Measure for Binarized Neural Networks Yanfei Li Ang Li Huimin Yu 54 0 0 05 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 96 125 0 29 May 2022
Can collaborative learning be private, robust and scalable? Dmitrii Usynin Helena Klause Johannes C. Paetzold Daniel Rueckert Georgios Kaissis FedML MedIm 49 3 0 05 May 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models Wei Hao Aahil Awatramani Jia-Bin Hu Chengzhi Mao Pin-Chun Chen Eyal Cidon Asaf Cidon Junfeng Yang AAML 82 4 0 22 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 75 14 0 18 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 96 38 0 13 Apr 2022