Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

5 August 2018

Papers citing "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"

50 / 216 papers shown

Title
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP Songlong Xing Zhengyu Zhao N. Sebe AAML 62 0 0 05 Mar 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 57 2 0 17 Jan 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models Xin Wang Kai-xiang Chen Jiaming Zhang Jingjing Chen Xingjun Ma AAML VPVLM VLM 83 1 0 20 Nov 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability George I. Kamberov AAML 19 0 0 17 Oct 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 21 2 0 11 Aug 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding Keming Wu Man Yao Yuhong Chou Xuerui Qiu Rui Yang Boxing Xu Guoqi Li AAML 30 4 0 29 Jul 2024
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding Bicheng Xu L. Lakshmanan VLM 36 1 0 06 Jun 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 35 2 0 31 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 41 1 0 25 Mar 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 31 1 0 16 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks Jun-Jie Zhang Deyu Meng AAML 12 3 0 16 Feb 2024
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective Yihao Huang Kaiyuan Yu Qing-Wu Guo Felix Juefei Xu Xiaojun Jia Tianlin Li G. Pu Yang Liu 24 3 0 05 Feb 2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint Zhongjie Shi Fanghui Liu Yuan Cao Johan A. K. Suykens 30 0 0 24 Jan 2024
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 26 1 0 30 Dec 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 26 0 0 28 Nov 2023
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 22 3 0 22 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 40 0 0 21 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 37 3 0 10 Oct 2023
On Continuity of Robust and Accurate Classifiers R. Barati Reza Safabakhsh Mohammad Rahmati AAML 10 1 0 29 Sep 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 18 1 0 28 Sep 2023
Evaluating Adversarial Robustness with Expected Viable Performance Ryan McCoppin Colin Dawson Sean M. Kennedy L. Blaha AAML 9 0 0 18 Sep 2023
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception Gledson Melotti Johann J. S. Bastos Bruno L. S. da Silva Tiago Zanotelli C. Premebida 11 0 0 09 Sep 2023
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training Brian Cho Youngbin Jang Jaewoong Yoon 27 1 0 06 Sep 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 23 3 0 29 Aug 2023
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 16 0 0 23 Aug 2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor Yijiang Li Xinjiang Wang Lihe Yang Litong Feng Wayne Zhang Ying Gao 21 15 0 18 Aug 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Zhu Liu Jinyuan Liu Ben-xi Zhang Long Ma Xin-Yue Fan Risheng Liu AAML 41 39 0 08 Aug 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 22 0 0 26 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik M. Keuper OOD AAML 35 19 0 11 Jun 2023
Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks Abhishri Ajit Medewar Swanand Ashokrao Kavitkar AAML ViT 21 0 0 08 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 11 14 0 02 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 37 49 0 18 May 2023
Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 25 2 0 28 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 37 11 0 17 Apr 2023
Overload: Latency Attacks on Object Detection for Edge Devices Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 36 12 0 11 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 19 38 0 30 Mar 2023
Distribution-restrained Softmax Loss for the Model Robustness Hao Wang Chen Li Jinzhe Jiang Xin Zhang Yaqian Zhao Weifeng Gong OOD 13 2 0 22 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 41 34 0 19 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni E. Hossain H. Vincent Poor AAML 24 18 0 11 Mar 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 27 1 0 17 Feb 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 26 2 0 19 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Li Rahul Duggal Duen Horng Chau Jason Martin AAML 21 5 0 08 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 25 2 0 31 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 39 59 0 14 Dec 2022
Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu Fan Wu Hongyang R. Zhang Hang Zhao 34 8 0 28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 32 2 0 26 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Ajmal Saeed Mian M. Shah AAML 26 1 0 23 Nov 2022
CLAWSAT: Towards Both Robust and Accurate Code Models Jinghan Jia Shashank Srikant Tamara Mitrovska Chuang Gan Shiyu Chang Sijia Liu Una-May O’Reilly AAML 15 11 0 21 Nov 2022