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• Towards the Robustness of Differentially Private Federated Learning

  Tao Qi, Huili Wang, Yongfeng Huang

  19911-19919

  2024-03-24

• Responsibility in Extensive Form Games

  Qi SHI

  19920-19928

  2024-03-24

• Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery

  Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

  19929-19936

  2024-03-24

• Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

  Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi

  19937-19947

  2024-03-24

• Moral Uncertainty and the Problem of Fanaticism

  Jazon Szabo, Natalia Criado, Jose Such, Sanjay Modgil

  19948-19955

  2024-03-24

• U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

  Ritwik Vashistha, Arya Farahi

  19956-19964

  2024-03-24

• TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

  Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang

  19965-19973

  2024-03-24

• SAME: Sample Reconstruction against Model Extraction Attacks

  Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen

  19974-19982

  2024-03-24

• High-Fidelity Gradient Inversion in Distributed Learning

  Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang

  19983-19991

  2024-03-24

• Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales

  Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang

  19992-20000

  2024-03-24

• Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

  Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann

  20001-20009

  2024-03-24

• Batch Normalization Is Blind to the First and Second Derivatives of the Loss

  Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang

  20010-20018

  2024-03-24

• Block-Level Goal Recognition Design

  Tsz-Chiu Au

  20020-20027

  2024-03-24

• Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

  Pascal Bachor, Gregor Behnke

  20028-20035

  2024-03-24

• Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

  Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala

  20036-20043

  2024-03-24

• The Complexity of Optimizing Atomic Congestion

  Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram, Fionn Mc Inerney

  20044-20052

  2024-03-24

• Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

  Matthew Budd, Bruno Lacerda, Nick Hawes

  20053-20060

  2024-03-24

• Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning

  Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty, Michael Katz, Sarath Sreedharan

  20061-20069

  2024-03-24

• Symbolic Numeric Planning with Patterns

  Matteo Cardellini, Enrico Giunchiglia, Marco Maratea

  20070-20077

  2024-03-24

• Learning Domain-Independent Heuristics for Grounded and Lifted Planning

  Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan

  20078-20086

  2024-03-24

• Approximate Distance Oracle for Fault-Tolerant Geometric Spanners

  Kyungjin Cho, Jihun Shin, Eunjin Oh

  20087-20095

  2024-03-24

• Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

  Mojtaba Elahi, Jussi Rintanen

  20096-20103

  2024-03-24

• An Effective Polynomial Technique for Compiling Conditional Effects Away

  Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

  20104-20112

  2024-03-24

• GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

  Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam

  20113-20122

  2024-03-24

• SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge

  Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt

  20123-20133

  2024-03-24