Blog Posts
Protecting AI from the Outside In: The Case for Coordinated Vulnerability Disclosure
This post highlights lessons learned from applying the coordinated vulnerability disclosure (CVD) process to reported vulnerabilities in AI and ML systems.
Read More•By Allen D. Householder, Vijay S. Sarvepalli, Jeff Havrilla, Matt Churilla, Lena Pons, Shing-hon Lau, Nathan M. VanHoudnos, Andrew Kompanek, Lauren McIlvenny
In Securing AI
3 Recommendations for Machine Unlearning Evaluation Challenges
Machine unlearning (MU) aims to develop methods to remove data points efficiently and effectively from a model without the need for extensive retraining. This post details our work to address …
Read More•By Keltin Grimes, Collin Abidi, Cole Frank, Shannon Gallagher
In Securing AI
