大模型对齐与安全

Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions

Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.CY、cs.LG

Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance

Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang

专题命中 安全评测 ：safety(title,abstract)；分类 cs.AI、cs.LG

Comments Preprint Accepted by ACM Transactions on Embedded Computing Systems

Journal ref ACM Transactions on Embedded Computing Systems; 2022

Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar

Mihai Datcu, Zhongling Huang, Andrei Anghel, Juanping Zhao, Remus Cacoveanu

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts

Jingwei Huang

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Comments Accepted Version 23 pages, 9 figures

Journal ref Transactions of the SDPS: Journal of Integrated Design and Process Science, 2022

SafeText: A Benchmark for Exploring Physical Safety in Language Models

Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia Chilton, Desmond Patton, Kathleen McKeown, William Yang Wang

专题命中 安全评测 ：safety(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2022

Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey

Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Comments 35 pages, Submitted to ACM Computing Surveys

Unifying Evaluation of Machine Learning Safety Monitors

Joris Guerin, Raul Sena Ferreira, Kevin Delmas, Jérémie Guiochet

专题命中 安全评测 ：safety(title,abstract)；分类 cs.AI、cs.LG

Comments 9 pages, 5 figures, 3 tables, to appear in the proceedings of the 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022)

Joint covariate-alignment and concept-alignment: a framework for domain generalization

Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

专题命中 安全评测 ：alignment(title,abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 2 figures, and 1 table. This paper is accepted at 32nd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2022)

Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring

Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Never trust, always verify : a roadmap for Trustworthy AI?

Lionel Nganyewou Tidjon, Foutse Khomh

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research

Noemi Derzsy, Subhabrata Majumdar, Rajat Malik

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.CY、cs.LG

Comments Accepted in CompleNet-2021 (oral presentation)

Journal ref In: Teixeira, A.S., Pacheco, D., Oliveira, M., Barbosa, H., Gonçalves, B., Menezes, R. (eds) Complex Networks XII. CompleNet-Live 2021. Springer Proceedings in Complexity. Springer, Cham

Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study

Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head, Alonso Granados Baca

专题命中 安全评测 ：safety(title,abstract)；分类 cs.AI、cs.LG

Trustworthy AI: From Principles to Practices

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials

Newsha Emaminejad, Reza Akhavian

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Systems Challenges for Trustworthy Embodied Systems

Harald Rueß

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Comments 57 pages, 7 figures, 3 tables. Public project deliverable, fortiss whitepaper

Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI

Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2105.04615, arXiv:2104.07060

CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment

Lütfi Kerem Senel, Timo Schick, Hinrich Schütze

专题命中 安全评测 ：alignment(title,abstract)；分类 cs.CL、cs.AI

Comments To appear in ACL 2022, 5 pages, 2 figures

Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design

Mohammad Naiseh, Caitlin Bentley, Sarvapali D. Ramchurn

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace

Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee, Yong Liao, Haiyong Xie, Pan Hui

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data

Alberto Nogales, Rodrigo Díaz Morón, Álvaro J. García-Tejedor

专题命中 安全评测 ：safety(title,abstract)；分类 cs.CL、cs.LG

Comments 20 pages,8 figures, 15 tables

Filling gaps in trustworthy development of AI

Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Journal ref Science (2021) Vol 374, Issue 6573, pp. 1327-1329

Blockchain-based Trustworthy Federated Learning Architecture

Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

AI at work -- Mitigating safety and discriminatory risk with technical standards

Nikolas Becker, Pauline Junginger, Lukas Martinez, Daniel Krupka, Leonie Beining

专题命中 安全评测 ：safety(title,abstract)；分类 cs.AI、cs.CY

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments

Lê-Nguyên Hoang, Louis Faucon, Aidan Jungo, Sergei Volodin, Dalia Papuc, Orfeas Liossatos, Ben Crulis, Mariame Tighanimine, Isabela Constantin, Anastasiia Kucherenko, Alexandre Maurer, Felix Grimberg, Vlad Nitu, Chris Vossen, Sébastien Rouault, El-Mahdi El-Mhamdi

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.CY、cs.LG

Comments 27 pages, 13 figures

Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems

Markus Borg, Joshua Bronson, Linus Christensson, Fredrik Olsson, Olof Lennartsson, Elias Sonnsjö, Hamid Ebabi, Martin Karsberg

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Comments Accepted for publication in the Proc. of the 2nd Workshop on Ethics in Software Engineering Research and Practice

A Framework for Assurance of Medication Safety using Machine Learning

Yan Jia, Tom Lawton, John McDermid, Eric Rojas, Ibrahim Habli

专题命中 安全评测 ：safety(title,abstract)；分类 cs.CY、cs.LG

The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies

Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.LG

Journal ref Journal of Biomedical Informatics, 113 (2021), 103655

Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment

Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan

专题命中 安全评测 ：alignment(title,abstract)；分类 cs.AI、cs.LG

Comments 6 pages, 2 figures, 1 table. Oral at the Beyond Backpropagation Workshop, NeurIPS 2020

Trustworthy AI

Richa Singh, Mayank Vatsa, Nalini Ratha

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.CY、cs.LG

Comments ACM CODS-COMAD 2021 Tutorial

Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI

Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker

专题命中 安全评测 ：trustworthy(title,abstract)；分类 cs.AI、cs.CY

Comments 1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020