"explainable ai" Papers
68 papers found • Page 1 of 2
Conference
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
Advancing Interpretability of CLIP Representations with Concept Surrogate Model
Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.
AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
Van Nguyen, Tingmin Wu, Xingliang YUAN et al.
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
Ziyin Zhou, Yunpeng Luo, Yuanchen Wu et al.
AudioGenX: Explainability on Text-to-Audio Generative Models
Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.
A Unified, Resilient, and Explainable Adversarial Patch Detector
Vishesh Kumar, Akshay Agarwal
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Mahtab Sarvmaili, Hassan Sajjad, Ga Wu
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
Jongseo Lee, Wooil Lee, Gyeong-Moon Park et al.
Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.
Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Zhipei Xu, Xuanyu Zhang, Runyi Li et al.
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng, Farhad Shirani, Zhuomin Chen et al.
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Kazi Sajeed Mehrab, M. Maruf, Arka Daw et al.
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
Fan Yang, Ru Zhen, Jianing Wang et al.
Higher Order Structures for Graph Explanations
Akshit Sinha, Sreeram Vennam, Charu Sharma et al.
Interpreting Language Reward Models via Contrastive Explanations
Junqi Jiang, Tom Bewley, Saumitra Mishra et al.
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
Zhuo Cao, Xuan Zhao, Lena Krieger et al.
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Junyan Ye, Baichuan Zhou, Zilong Huang et al.
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye, Stefan Haufe, Lars Kai Hansen
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
Dongki Kim, Wonbin Lee, Sung Ju Hwang
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Van Nguyen, James Michels, Hua Shen et al.
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
Fatemeh Ghezloo, Saygin Seyfioglu, Rustin Soraki et al.
PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy
Ripan Kumar Kundu, Istiak Ahmed, Khaza Anuarul Hoque
Provable Gradient Editing of Deep Neural Networks
Zhe Tao, Aditya V Thakur
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
Jonggwon Park, Byungmu Yoon, Soobum Kim et al.
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
Steve Azzolin, Antonio Longa, Stefano Teso et al.
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
R. Teal Witter, Yurong Liu, Christopher Musco
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
Zhong Li, Qi Huang, Yuxuan Zhu et al.
Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection
Juan Hu, Shaojing Fan, Terence Sim
SHAP values via sparse Fourier representation
Ali Gorji, Andisheh Amrollahi, Andreas Krause
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
Sound Logical Explanations for Mean Aggregation Graph Neural Networks
Matthew Morris, Ian Horrocks
Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
Buelent Uendes, Shujian Yu, Mark Hoogendoorn
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
Tengfei Ma, Xiang song, Wen Tao et al.
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Marharyta Domnich, Julius Välja, Rasmus Moorits Veski et al.
Understanding Emotional Body Expressions via Large Language Models
Haifeng Lu, Jiuyi Chen, Feng Liang et al.
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
Jianming Chen, Yawen Wang, Junjie Wang et al.
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
Muchao Ye, Weiyang Liu, Pan He
Accelerating the Global Aggregation of Local Explanations
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
Attribution-based Explanations that Provide Recourse Cannot be Robust
Hidde Fokkema, Rianne de Heide, Tim van Erven
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al.
CGS-Mask: Making Time Series Predictions Intuitive for All
Feng Lu, Wei Li, Yifei Sun et al.
Counterfactual Metarules for Local and Global Recourse
Tom Bewley, Salim I. Amoukou, Saumitra Mishra et al.