v1v2 (latest)

Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing

14 December 2018

Jun Sun

Papers citing "Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing"

50 / 68 papers shown

Title
Anomaly Detection Based on Critical Paths for Deep Neural Networks Fangzhen Zhao Chenyi Zhang Naipeng Dong Ming Li Jinxiao Shan AAML 37 0 0 20 May 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 209 0 0 24 Feb 2025
On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering Lauren Lyons Ali Ghanbari 108 0 0 22 Jan 2025
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 123 0 0 09 Dec 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 95 0 0 07 Sep 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 115 1 0 31 Jul 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 130 6 0 12 Apr 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 86 1 0 20 Feb 2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study Yufei Li Simin Chen Yanghong Guo Wei Yang Yue Dong Cong Liu UQCV 63 2 0 12 Jan 2024
Machine Translation Testing via Syntactic Tree Pruning Quanjun Zhang Juan Zhai Chunrong Fang Jiawei Liu Weisong Sun Haichuan Hu Qingyu Wang 62 3 0 01 Jan 2024
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 102 4 0 12 Sep 2023
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench Jen-tse Huang Man Ho Lam E. Li Shujie Ren Wenxuan Wang Wenxiang Jiao Zhaopeng Tu Michael R. Lyu 136 48 0 07 Aug 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators Xin Zhang Yuqi Song Xiang Wang Fei Zuo MedIm DiffM 47 2 0 03 Apr 2023
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking Ruoxi Chen Haibo Jin Jinyin Chen Haibin Zheng AAML 49 0 0 25 Mar 2023
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Jiali Wei Ming Fan Wenjing Jiao Wuxia Jin Ting Liu AAML 99 15 0 25 Jan 2023
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 115 33 0 29 Nov 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models Simin Chen Cong Liu Mirazul Haque Wei Yang 92 24 0 07 Oct 2022
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 75 13 0 31 Aug 2022
COMET: Coverage-guided Model Generation For Deep Learning Library Testing Meiziniu Li Jialun Cao Yongqiang Tian T. Li Ming Wen Shing-Chi Cheung VLM 35 23 0 02 Aug 2022
Verifying Neural Networks Against Backdoor Attacks Long H. Pham Jun Sun AAML 68 5 0 14 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases Jen-tse Huang Jianping Zhang Wenxuan Wang Pinjia He Yuxin Su Michael R. Lyu 83 23 0 13 May 2022
Input-specific Attention Subnetworks for Adversarial Detection Emil Biju Anirudh Sriram Pratyush Kumar Mitesh M Khapra AAML 47 5 0 23 Mar 2022
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques M. K. Ahuja A. Gotlieb Helge Spieker AAML 60 4 0 24 Feb 2022
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness Amin Eslami Abyane Derui Zhu Roberto Souza Lei Ma Hadi Hemmati AAML OOD FedML 50 4 0 05 Jan 2022
Repairing Adversarial Texts through Perturbation Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 36 2 0 29 Dec 2021
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing Yuanyuan Yuan Qi Pang Shuai Wang DiffM AAML MedIm 80 6 0 03 Dec 2021
Fairness Testing of Deep Image Classification with Adequacy Metrics Peixin Zhang Jingyi Wang Jun Sun Xinyu Wang VLM EGVM 28 12 0 17 Nov 2021
Generalizing Neural Networks by Reflecting Deviating Data in Production Yan Xiao Yun Lin Ivan Beschastnikh Changsheng Sun David S. Rosenblum Jin Song Dong OOD 28 0 0 06 Oct 2021
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles Yuejun Guo Qiang Hu Maxime Cordy Michail Papadakis Yves Le Traon AAML 50 3 0 27 Sep 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 154 37 0 15 Sep 2021
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases E. Merlo Mira Marhaba Foutse Khomh Houssem Ben Braiek G. Antoniol 19 0 0 28 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 68 5 0 23 Jul 2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling Peixin Zhang Jingyi Wang Jun Sun Xinyu Wang Guoliang Dong Xingen Wang Ting Dai Jin Song Dong 47 24 0 17 Jul 2021
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network Zuohui Chen Renxuan Wang Jingyang Xiang Yue Yu Xin Xia S. Ji Qi Xuan Xiaoniu Yang 55 1 0 09 Jul 2021
Fingerprinting Image-to-Image Generative Adversarial Networks Guanlin Li Guowen Xu Han Qiu Shangwei Guo Run Wang Jiwei Li Tianwei Zhang Rongxing Lu WIGM 69 0 0 19 Jun 2021
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions Yuqi Chen Christopher M. Poskitt Jun Sun AAML 57 10 0 15 Jun 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 44 1 0 20 Apr 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness Zhe Zhao Guangke Chen Jingyi Wang Yiwei Yang Fu Song Jun Sun AAML 114 31 0 13 Mar 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 71 15 0 28 Jan 2021
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning Renjue Li Pengfei Yang Cheng-Chao Huang Youcheng Sun Bai Xue Lijun Zhang AAML 161 18 0 25 Jan 2021
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 59 0 0 07 Dec 2020
Improving Neural Network Verification through Spurious Region Guided Refinement Pengfei Yang Renjue Li Jianlin Li Cheng-Chao Huang Jingyi Wang Jun Sun Bai Xue Lijun Zhang AAML 69 39 0 15 Oct 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 193 623 0 17 Jul 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 43 14 0 26 Jun 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 60 79 0 24 Apr 2020
Testing Machine Translation via Referential Transparency Pinjia He Clara Meister Z. Su 69 51 0 22 Apr 2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks K. Sivamani R. Sahay Aly El Gamal AAML 35 3 0 22 Feb 2020
RAID: Randomized Adversarial-Input Detection for Neural Networks Hasan Ferit Eniser M. Christakis Valentin Wüstholz AAML 69 15 0 07 Feb 2020
Reliability Validation of Learning Enabled Vehicle Tracking Youcheng Sun Yifan Zhou Simon Maskell James Sharp Xiaowei Huang 61 10 0 06 Feb 2020
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 48 6 0 19 Dec 2019