Trustworthy AI: A Computational Perspective

12 July 2021

Xiaorui Liu

Papers citing "Trustworthy AI: A Computational Perspective"

32 / 32 papers shown

Title
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Ziran Liang Rui An Wenqi Fan Yanghui Rao Yuxuan Liang AI4TS 44 0 0 23 Apr 2025
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Wenqi Fan Yujuan Ding Liang-bo Ning Shijie Wang Hengyun Li Dawei Yin Tat-Seng Chua Qing Li RALM 3DV 40 185 0 10 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review Jie Zhang Haoyu Bu Hui Wen Yu Chen Lun Li Hongsong Zhu 42 36 0 06 May 2024
Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry Ci-Jyun Liang Thai-Hoa Le Youngjib Ham Bharadwaj R. K. Mantha Marvin H. Cheng Jacob J. Lin 18 30 0 09 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 63 309 0 05 Jul 2023
Uncovering and Quantifying Social Biases in Code Generation Y. Liu Xiaokang Chen Yan Gao Zhe Su Fengji Zhang Daoguang Zan Jian-Guang Lou Pin-Yu Chen Tsung-Yi Ho 36 19 0 24 May 2023
The Ethics of AI in Games Dávid Melhárt Julian Togelius Benedikte Mikkelsen Christoffer Holmgård Georgios N. Yannakakis 23 24 0 12 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues Canyu Chen Haoran Wang Matthew A. Shapiro Yunyu Xiao Fei Wang Kai Shu 17 12 0 10 Nov 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Ke Tang 30 67 0 18 Aug 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 32 68 0 13 Aug 2022
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring Maria Kaselimi Eftychios E. Protopapadakis A. Voulodimos N. Doulamis Anastasios Doulamis 24 64 0 05 Jul 2022
On Demographic Bias in Fingerprint Recognition Akash Godbole Steven A. Grosz Karthik Nandakumar A.K. Jain 41 7 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 39 28 0 07 Aug 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 30 412 0 14 Mar 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 110 0 25 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 142 190 0 13 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 592 0 31 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,814 0 14 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 250 80 0 11 Dec 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 228 676 0 19 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 211 616 0 03 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016