Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection

22 May 2019

Papers citing "Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection"

15 / 15 papers shown

Title
MetaSel: A Test Selection Approach for Fine-tuned DNN Models Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 49 0 0 21 Mar 2025
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack Ziyi Gao Kai-xiang Chen Zhipeng Wei Tingshu Mou Jingjing Chen Zhiyu Tan Hao Li Yu-Gang Jiang VGen AAML 36 2 0 10 Aug 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 43 0 0 19 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 43 1 0 12 Apr 2024
DAD++: Improved Data-free Test Time Adversarial Defense Gaurav Kumar Nayak Inder Khatri Shubham Randive Ruchit Rawal Anirban Chakraborty AAML 21 1 0 10 Sep 2023
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 19 17 0 30 Jun 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 11 0 0 30 Jun 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 27 30 0 10 Apr 2022
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples Nelson Manohar-Alers Ryan Feng Sahib Singh Jiguo Song Atul Prakash AAML 11 1 0 01 Jul 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 11 122 0 01 May 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 16 1 0 20 Apr 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 13 28 0 09 Mar 2021
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu Risto Miikkulainen 9 6 0 05 Oct 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 27 9 0 01 Jul 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020