Rebecca S. Portnoff

According to our database, Rebecca S. Portnoff authored at least 10 papers between 2014 and 2026.

Collaborative distances:

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

2026

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM.

Vinith M. Suriyakumar, Ayush Sekhari, Lena Stempfle, Robertson Wang, Michael Simpson, Rebecca S. Portnoff, Marzyeh Ghassemi, Ashia C. Wilson

CoRR, April, 2026

2025

AI Generated Child Sexual Abuse Material - What's the Harm?

Caoilte Ó Ciardha, John Buckley, Rebecca S. Portnoff

CoRR, October, 2025

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth E. Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

CoRR, March, 2025

Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2018

The Dark Net: De-Anonymization, Classification and Analysis.

Rebecca S. Portnoff

PhD thesis, 2018

2017

Tools for Automated Analysis of Cybercriminal Markets.

Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson

Proceedings of the 26th International Conference on World Wide Web, 2017

Backpage and Bitcoin: Uncovering Human Traffickers.

Rebecca S. Portnoff, Danny Yuxing Huang, Periwinkle Doerfler, Sadia Afroz, Damon McCoy

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.

Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Somebody's Watching Me?: Assessing the Effectiveness of Webcam Indicator Lights.

Rebecca S. Portnoff, Linda Naeun Lee, Serge Egelman, Pratyush Mishra, Derek Leung, David A. Wagner

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

Are You Ready to Lock?

Serge Egelman, Sakshi Jain, Rebecca S. Portnoff, Kerwell Liao, Sunny Consolvo, David A. Wagner

Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014