Our event will be live streamed around the state!!! You will not be able to attend in person. Here is the Wisconsin Eye link
here. Special thank you to both
Kairos Technologies and
WisEye for helping make this event possible.
Details:
Large language models and Generative Artificial Intelligence (GenAI) are all the rage.
GenAI technologies, such as large language models (LLMs) and diffusion models, have changed the computing landscape. They have enabled exciting applications, such as generating realistic images, automatic code completion, and document summarization. However, adversaries can use GenAI as well (this is the classic case of "dual use"). For example, adversaries can use GenAI to generate spearfishing emails or realistic-looking content that spreads is information. Note that these attacks were possible before, but the velocity/scale of these attacks might be greatly enhanced because of GenAI. However, we will discuss on risks of GenAI with focus on questions, such as:
[1] How could attackers leverage GenAI technologies?
[2] How should security measures change in response to GenAI technologies?
[3] What are some current and emerging technologies we should pay attention to for designing countermeasures?
The material is based on a workshop that was organized by Google,
Stanford, and UW-Madison.
We are honored to have Dr Somesh Jha, Lubar Professor in the Computer Sciences Department at theUniversity of Wisconsin (Madison) and member of the Langroid group presenting to MadAI.
Please sign up for the
meetup group and add yourself to the
attendee list so we have an acurate head count for this event.
Speaker: Dr Somesh Jha:Somesh Jha received his B.Tech from Indian Institute of Technology,New Delhi in Electrical Engineering. He received his Ph.D. in ComputerScience from Carnegie Mellon University under the supervision ofProf. Edmund Clarke (a Turing award winner). Currently, Somesh Jha isthe Lubar Professor in the Computer Sciences Department at theUniversity of Wisconsin (Madison). His work focuses on analysis ofsecurity protocols, survivability analysis, intrusion detection,formal methods for security, and analyzing malicious code. Recently,he has focused his interested on privacy and adversarial ML(AML). Somesh Jha has published several articles in highly-refereedconferences and prominent journals. He has won numerous best-paper anddistinguished-paper awards. Prof. Jha received the CAV award for hiswork on CEGAR and also has received the IIT-Delhi Distinguished Alumniaward. Prof. Jha is the fellow of the ACM, IEEE, and AAAS.
Hosted by MadAI
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