Tobin South

According to our database, Tobin South authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, Connor Spelliscy, Manu Sporny, Varya Srivastava, John Bailey, Brian Christian, Andrew Critch, Ronnie Falcon, Heather Flanagan, Kim Hamilton Duffy, Eric Ho, Claire R. Leibowicz, Srikanth Nadhamuni, Alan Z. Rozenshtein, David Schnurr, Evan Shapiro, Lacey Strahm, Andrew Trask, Zoe Weinberg, Cedric Whitney, Tom Zick

CoRR, 2024

Open Problems in Technical AI Governance.

Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager

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, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, 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

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures.

Alex Berke, Tobin South, Robert Mahari, Kent Larson, Alex Pentland

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

zkTax: A pragmatic way to support zero-knowledge tax disclosures.

Alex Berke, Tobin South, Robert Mahari, Kent Larson, Alex Pentland

CoRR, 2023

Don't forget private retrieval: distributed private similarity search for large language models.

Guy Zyskind, Tobin South, Alex Pentland

CoRR, 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, Seth Frey, Jeff Strnad, Morshed Mannan, Kelsie Nabben, Silke Noa Elrifai, Jake Hartnell, Benjamin Mako Hill, Alexia Maddox, Woojin Lim, Tobin South, Ari Juels, Dan Boneh

CoRR, 2023

Building a Healthier Feed: Private Location Trace Intersection Driven Feed Recommendations.

Tobin South, Nick Lothian, Takahiro Yabe, Alex 'Sandy' Pentland

Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

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, Alex 'Sandy' Pentland

CoRR, 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

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

Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022

2021

Popularity and centrality in Spotify networks: critical transitions in eigenvector centrality.

Tobin South, Matthew Roughan, Lewis Mitchell

J. Complex Networks, 2021

2020

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

2019

How the Avengers assemble: Ecological modelling of effective cast sizes for movies.

Matthew Roughan, Lewis Mitchell, Tobin South

CoRR, 2019

Podlab at SemEval-2019 Task 3: The Importance of Being Shallow.

Andrew Nguyen, Tobin South, Nigel G. Bean, Jonathan Tuke, Lewis Mitchell

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019