Trustworthy and Responsible AI

In the era of intelligent assistants, autonomous agents, and self-driving cars we expect AI systems to not cause harm and withstand adversarial attacks. In this course you will learn advanced methods of building AI models and systems that mitigate privacy, security, societal, and environmental risks. We will go deep into attack vectors and what type of guarantees current research can and cannot provide for modern generative models. The course will feature extensive hands-on experience with model training and regular discussion of key research papers.

Intro/CompNetwSecurity colloq

The colloquium will focus on advanced topics and recent research topics related to computer and network security. Students will participate in group discussions and carry out a group or individual project which will be an extension to the project work in COMPSCI 360. Students will be graded based on their active participation during meetings, written summaries of assigned readings, and project work.

Raul Pessoa

Submitted by admin on
Primary Title:  
Sr Peoplesoft Database Admin
Institution:  
UMASS Amherst
Department:  
Information Technology
Email Address:  
rpessoa@umass.edu

Malik Parks

Submitted by admin on
Primary Title:  
HRBP
Institution:  
UMASS Amherst
Department:  
Human Resources
Email Address:  
mparks@umass.edu
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