Organizers:
Vitaly Feldman (Google), Ravi Kumar (Google), Ilya Mironov (Google), Adam Smith (Boston University)
Welcome & Breakfast
Vitaly Shmatikov (Cornell): How To Backdoor Federated Learning
Nicholas Carlini (Google): Investigating Memorization in Neural Networks
Omer Reingold (Stanford): A Complexity-Theoretic Perspective on Algorithmic Fairness
Sean Augenstein (Google): Federated Learning/Analysis, and Tools for Working with Private and Decentralized Datasets
Françoise Beaufays (Google): Gboard: A showcase for Federated Learning
12:05 – 1:30 pm:
Lunch + Campus tour
1:30 – 2:40 pm
Kobbi Nissim (Georgetown): Towards Legal Theorems
Rachel Cummings (Georgia Tech): Private Synthetic Data Generation
Marco Gaboardi (SUNY Buffalo): Formal verification for differential privacy: an overview
2:40 – 2:50 pm
Break
2:50 – 3:20 pm:
Bryant Gipson (Google): Making a (useful) Differentially Private Query Engine
3:20 – 3:40 pm:
Break
3:40 – 4:30 pm:
Panel Discussion on Collaboration between Academia and Industry in Privacy Research
Moderator: Ilya Mironov (Google)
Panelists: Ulfar Erlingsson (Google), Katrina Ligett (Hebrew U.), Geta Sampemane (DeepMind), Vitaly Shmatikov (Cornell Tech), Amanda Walker (Google)
All scheduled dates:
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