IJCAI 2024

1,048 papers

Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage

Zeyu Li, Yuwen Pu, Xuhong Zhang, Yu Li, Jinbao Li

SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning

Jeonghyun Lee, Sungmin Han, Sangkyun Lee

Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis

Zhoulin Ji, Chenhao Lin, Hang Wang, Chao Shen

Updates on the Complexity of SHAP Scores

Xuanxiang Huang, Joao Marques-Silva

Online Combinatorial Optimization with Group Fairness Constraints

Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan

Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

The Impact of Features Used by Algorithms on Perceptions of Fairness

Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba

Are Logistic Models Really Interpretable?

Danial Dervovic, Freddy Lecue, Nicolas Marchesotti, Daniele Magazzeni

Machine Unlearning via Null Space Calibration

Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection

Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan

Discriminative Feature Decoupling Enhancement for Speech Forgery Detection

Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin

Pluggable Watermarking of Deepfake Models for Deepfake Detection

Han Bao, Xuhong Zhang, Qinying Wang, Kangming Liang, Zonghui Wang

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding

Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning

Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang

Intention Progression with Temporally Extended Goals

Yuan Yao, Natasha Alechina, Brian Logan

Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks

Pei Xu, Junge Zhang, Kaiqi Huang

A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma

Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu

Reinforcement Nash Equilibrium Solver

Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang

Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option

Yohai Trabelsi, Pan Xu, Sarit Kraus

MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem

Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu

Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search

Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm

Cooperation and Control in Delegation Games

Oliver Sourbut, Lewis Hammond, Harriet Wood

Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity

Martin Smit, Fernando P. Santos

Fostering Collective Action in Complex Societies Using Community-Based Agents

Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall

Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict

Munindar P. Singh, Samuel H. Christie V., Amit K. Chopra

Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning

Tianyu Ren, Xiao-Jun Zeng

Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control

Yang Qu, Jinming Ma, Feng Wu

Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All

Atasi Panda, Anand Louis, Prajakta Nimbhorkar

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach

Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh

Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis

Katherine Mayo, Nicholas Grabill, Michael P. Wellman

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Zun Li, Michael P. Wellman

Self-adaptive PSRO: Towards an Automatic Population-based Game Solver

Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang

MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models

Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations

CHAO LI, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan

To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty

Chin-wing Leung, Tom Lenaerts, Paolo Turrini

Formal Verification of Parameterised Neural-symbolic Multi-agent Systems

Panagiotis Kouvaros, Elena Botoeva, Cosmo De Bonis-Campbell

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner

Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan

CompetEvo: Towards Morphological Evolution from Competition

Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu

Parameterized Complexity of Kidney Exchange Revisited

Ursula Hebert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan

Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded Agents

Julian Gutierrez, David Hyland, Muhammad Najib, Giuseppe Perelli, Michael Wooldridge

Scalable Mechanism Design for Multi-Agent Path Finding

Paul Friedrich, Yulun Zhang, Michael Curry, Ludwig Dierks, Stephen Mcaleer

Improving Multi-agent Reinforcement Learning with Stable Prefix Policy

Yue Deng, Zirui Wang, Yin Zhang

Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition

Dylan Cope, Peter McBurney

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning

Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang

AutoAgents: A Framework for Automatic Agent Generation

Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay

Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form

Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi

Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties

S. Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, Đorđe Žikelić