Attacking the privacy of machine learning models
Sep
29
Date(s)
Summary
coffee and snacks at 3:30pm, Packard Grove
Displaying 21 - 27 of 27 results.
What Should a Good Deep Neural Network Look Like? Insights from a Layer-Peeled Model and the Law of Equi-Separation
Sep
28
Date(s)
Summary
Prof. Weijie Su (Wharton Statistics and Data Science).
384H
384H
Explore AWS: Talk by Amazon Distinguished Engineer
Sep
15
Date(s)
Summary
Hosted by Prof. Tsachy Weissman and the IT Forum
Packard 202
Packard 202
On the Role of Channel Capacity in Learning Gaussian Mixture Models
Jun
3
Date(s)
Summary
Elad Romanov (Stanford)
Beyond the Csiszár-Körner Bound: Best-Possible Wiretap Coding via Obfuscation
May
12
Date(s)
Summary
IT-Forum Seminar
Prof Amit Sahai (UCLA)
Packard 101
Prof Amit Sahai (UCLA)
Packard 101
Balanced group testing via hypergraph factorization for COVID-18
Apr
15
Date(s)
Summary
David Hong, Univ. of Pennsylvania
IT-Forum
Zoom Link
pwd: 032264
IT-Forum
Zoom Link
pwd: 032264
IT-Forum presents: Semantic vs. Effective Communications
Mar
11
Date(s)
Summary
Prof. Deniz Gündüz