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Abhishek Singh, Split Inference - Metrics, Benchmarks and Algorithms, ECCV'24

Zaid Tasneem, DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images, ECCV'24

Roeder, G., Das, M., Saadi, J.I., Harrington, C., Verma, A., Breazeal, C., D’Ignazio, C., Yang, M., & Ostrowski, A.K. 2024. Building spaces for design justice: A case study on the design justice pedagogy summit. Accepted to ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2024).

Whitepaper

Ostrowski, A.K., Das, M., Roeder, G., Saadi. J.I., Harrington, C., Verma, A., Breazeal, C., D’Ignazio, C., & Yang, M. 2024. Supporting reflexivity and action on equity and justice in design education: Insights from the design justice pedagogy summit. Design Thinking Research Symposium (DTRS) 14.

Bao, C. (2024). Mitigating Undercutting Attacks: A Study on Mining and Transaction Fee Behavior. [Master's thesis, MIT]. https://media.mit.edu/publications/mitigating-undercutting-attacks-a-study-on-mining-and-transaction-fee-behavior

Chopra, Ayush, et al. "flame: A Framework for Learning in Agent-based ModEls." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 2024.

Singh, Abhishek, et al. "Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release." Advances in Neural Information Processing Systems 36 (2024).

Artificial Intelligence (cs.AI), arXiv:2403.04893 [cs.AI] (or arXiv:2403.04893v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2403.04893 | Shayne Longpre* 1 Sayash Kapoor** 2 Kevin Klyman** 3 Ashwin Ramaswami 4 Rishi Bommasani 3 Borhane Blili-Hamelin 5 Yangsibo Huang 2 Aviya Skowron 6 Zheng-Xin Yong 7 Suhas Kotha 8 Yi Zeng 9 Weiyan Shi 10 Xianjun Yang 11 Reid Southen Alexander Robey

Alex Berke, Tobin South, Robert Mahari, Kent Larson, and Alex Pentland. 2024. Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures. In Proceedings of Conference on Computer and Communications Security (CCS’24). ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3658644.3691421

Hawkins, R.D., Berdahl, A.M., Pentland, A.‘. et al. Flexible social inference facilitates targeted social learning when rewards are not observable. Nat Hum Behav (2023). https://doi.org/10.1038/s41562-023-01682-x

E. C. Ferrer, I. Berman, A. Kapitonov, V. Manaenko, M. Chernyaev and P. Tarasov, "Gaka-Chu: A Self-Employed Autonomous Robot Artist," 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 11583-11589, doi: 10.1109/ICRA48891.2023.10160866.

Bühler, M. et al., 2023. Harnessing Digital Federation Platforms and Data Cooperatives to Empower SMEs and Local Small Communities, OBSERVER RESEARCH FOUNDATION. India.

Bahrami, Mohsen, et al. "Predicting merchant future performance using privacy-safe network-based features." Scientific Reports 13.1 (2023): 10073.

Epstein Z and Hause L. Yourfeed: Towards open science and interoperable systems for social media. arXiv.