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Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics

17 July 2019

Papers citing "Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics"

31 / 31 papers shown

Title
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models Yingchaojie Feng Zhizhang Chen Zhining Kang Sijia Wang Haoyu Tian Wei Zhang Minfeng Zhu Wei Chen 103 4 0 12 Apr 2024
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic Zezheng Feng Yifan Jiang Hongjun Wang Z. Fan Yuxin Ma Shuang-Hua Yang Huamin Qu Xuan Song 46 1 0 07 Mar 2024
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 51 3 0 22 Nov 2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 56 3 0 28 Aug 2023
Class-constrained t-SNE: Combining Data Features and Class Probabilities Linhao Meng S. V. D. Elzen Nicola Pezzotti Anna Vilanova 64 17 0 26 Aug 2023
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data Alexander Vieth T. Kroes Julian Thijssen Baldur van Lew J. Eggermont Soumyadeep Basu E. Eisemann Anna Vilanova T. Höllt B. Lelieveldt 20 5 0 03 Aug 2023
Visual Analytics For Machine Learning: A Data Perspective Survey Junpeng Wang Shixia Liu Wei Zhang HAI 87 20 0 15 Jul 2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 73 0 0 12 Apr 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps Angelos Chatzimparmpas Rafael M. Martins A. Telea Andreas Kerren 63 3 0 31 Mar 2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks Yiran Li Junpeng Wang Takanori Fujiwara Kwan-Liu Ma AAML 34 6 0 06 Mar 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 96 162 0 22 Dec 2022
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels Ilya Ploshchik Angelos Chatzimparmpas Andreas Kerren 49 2 0 07 Dec 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 74 4 0 20 Oct 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 99 10 0 13 Jul 2022
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques Angelos Chatzimparmpas F. Paulovich Andreas Kerren 52 8 0 29 Mar 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 87 37 0 21 Feb 2022
A Review of Explainable Artificial Intelligence in Manufacturing G. Sofianidis Jože M. Rožanec Dunja Mladenić D. Kyriazis 79 17 0 05 Jul 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 73 24 0 06 Apr 2021
STARdom: an architecture for trusted and secure human-centered manufacturing systems Jože M. Rožanec Patrik Zajec K. Kenda I. Novalija B. Fortuna ... Diego Reforgiato Recupero D. Kyriazis G. Sofianidis Spyros Theodoropoulos John Soldatos 44 7 0 02 Apr 2021
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 82 24 0 26 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 55 9 0 18 Mar 2021
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 75 21 0 02 Dec 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 76 25 0 15 Sep 2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations F. Sperrle Mennatallah El-Assady G. Guo Duen Horng Chau Alex Endert Daniel A. Keim 69 19 0 14 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 95 223 0 21 Aug 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 94 34 0 28 Jul 2020
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren DiffM BDL 115 79 0 04 May 2020
Boxer: Interactive Comparison of Classifier Results Michael Gleicher Aditya Barve Xinyi Yu Florian Heimerl VLM HAI 83 40 0 16 Apr 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 127 91 0 26 Jan 2020
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples Chelsea M. Myers Evan Freed Luis Fernando Laris Pardo Anushay Furqan S. Risi Jichen Zhu CML 98 13 0 07 Jan 2020
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 70 7 0 09 Oct 2018