Podlab at SemEval-2019 Task 3: The Importance of Being Shallow. - Andrew Nguyen; Tobin South; Nigel G. Bean; Jonathan Tuke; Lewis Mitchell (SemEval@NAACL-HLT, 2019)

How the Avengers assemble: Ecological modelling of effective cast sizes for movies. - Matthew Roughan; Lewis Mitchell; Tobin South (CoRR, 2019)

Complex Contagion Features without Social Reinforcement in a Model of Social Information Flow. - Tyson Pond; Saranzaya Magsarjav; Tobin South; Lewis Mitchell; James P. Bagrow (Entropy, 2020)

Popularity and centrality in Spotify networks: critical transitions in eigenvector centrality. - Tobin South; Matthew Roughan; Lewis Mitchell (J. Complex Networks, 2021)

Voyage Viewer: Empowering Human Mobility at a Global Scale. - Isabella Loaiza Saa; Tobin South; Germán Sánchez; Serena Chan; Alice Yu; Felipe Montes; Mohsen Bahrami; Alex Pentland (EuroVA@EuroVis, 2022)

Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere. - Mehwish Nasim; Derek Weber; Tobin South; Jonathan Tuke; Nigel G. Bean; Lucia Falzon; Lewis Mitchell (CoRR, 2022)

Building a healthier feed: Private location trace intersection driven feed recommendations. - Tobin South; Nick Lothian; Alex 'Sandy' Pentland (CoRR, 2022)

Information flow estimation: A study of news on Twitter. - Tobin South; Bridget Smart; Matthew Roughan; Lewis Mitchell (Online Soc. Networks Media, 2022)

Building a Healthier Feed: Private Location Trace Intersection Driven Feed Recommendations. - Tobin South; Nick Lothian; Takahiro Yabe; Alex 'Sandy' Pentland (SBP-BRiMS, 2023)

Open Problems in DAOs. - Joshua Z. Tan; Tara Merk; Sarah Hubbard; Eliza R. Oak; Joni Pirovich; Ellie Rennie; Rolf Hoefer; Michael Zargham; Jason Potts; Chris Berg; Reuben Youngblom; Primavera De Filippi; et al. (CoRR, 2023)

Don't forget private retrieval: distributed private similarity search for large language models. - Guy Zyskind; Tobin South; Alex Pentland (CoRR, 2023)

zkTax: A pragmatic way to support zero-knowledge tax disclosures. - Alex Berke; Tobin South; Robert Mahari; Kent Larson; Alex Pentland (CoRR, 2023)

Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures. - Alex Berke; Tobin South; Robert Mahari; Kent Larson; Alex Pentland (CCS, 2024)

Plural Management: A Scalable Model for Decentralized Organizational Authority Using Quadratic Voting and Prediction Markets. - Leon Erichsen; Tobin South; Shrey Jain; Petar Maymounkov; Scott Moore; E. Glen Weyl (CENTERIS/ProjMAN/HCist, 2024)

Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? - Shayne Longpre; Robert Mahari; Naana Obeng-Marnu; William Brannon; Tobin South; Katy Ilonka Gero; Alex Pentland; Jad Kabbara (ICML, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

Verifiable evaluations of machine learning models using zkSNARKs. - Tobin South; Alexander Camuto; Shrey Jain; Shayla Nguyen; Robert Mahari; Christian Paquin; Jason Morton; Alex 'Sandy' Pentland (CoRR, 2024)

Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? - Shayne Longpre; Robert Mahari; Naana Obeng-Marnu; William Brannon; Tobin South; Katy Ilonka Gero; Sandy Pentland; Jad Kabbara (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Ben Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (CoRR, 2024)

Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. - Steven Adler; Zoë Hitzig; Shrey Jain; Catherine Brewer; Wayne Chang; Renee DiResta; Eddy Lazzarin; Sean McGregor; Wendy Seltzer; Divya Siddarth; Nouran Soliman; Tobin South; et al. (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Benjamin Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (Trans. Mach. Learn. Res., 2025)

Authenticated Delegation and Authorized AI Agents. - Tobin South; Samuele Marro; Thomas Hardjono; Robert Mahari; Cedric Deslandes Whitney; Dazza Greenwood; Alan Chan; Alex Pentland (CoRR, 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. - Shenzhe Zhu; Jiao Sun; Yi Nian; Tobin South; Alex Pentland; Jiaxin Pei (CoRR, 2025)

Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data. - Nicola Croce; Tobin South (CoRR, 2025)