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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Deceptive Alignment Monitoring

Published in ICML, 2023

We propose a new paradigm of adversarial machine learning, deceptive alignment monitoring, in which mechanistically anomalous model behavior serves as a basis fo model misalignment, and propose aa variety of new research directions in the field.

Recommended citation: Pai, DB, Carranza, A, Schaeffer, R, Koyejo, S. “Deceptive Alignment Monitoring.” Adversarial ML Frontiers, ICML Workshops, Jun 20, 2023. https://openreview.net/forum?id=obsO44GFhh

FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation.

Published in ICML, 2023

We present FACADE, a novel probabilistic and geometric framework designed for unsupervised mechanistic anomaly detection in deep neural networks.

Recommended citation: Pai, DB, Carranza, A, Tandon, A, Schaeffer, R, Koyejo, S. “FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation.” Adversarial ML Frontiers, ICML Workshops, Jun 20, 2023. https://openreview.net/forum?id=4j8KuZOmQH

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.