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About
Average-Case Complexity: From Cryptography to Statistical Learning
Program
Computational Complexity of Statistical Inference
Location
Calvin Lab Auditorium
Date
Monday, Nov. 8
–
Wednesday, Nov. 10, 2021
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Workshop & Symposia
Average-Case Complexity: From Cryptography to Statistical Learning
Secondary tabs
The Workshop
Schedule
(active tab)
Videos
Monday, Nov. 8, 2021
9:45
–
10 a.m.
Welcome and Introduction
10
–
10:45 a.m.
On Breaking Encryption With A Statistical Zero-Knowledge Oracle
Andrej Bogdanov (The Chinese University of Hong Kong)
10:45
–
11:15 a.m.
Break
11:15 a.m.
–
12:15 p.m.
Average-Case Hardness Of CSPs
Benny Applebaum (Tel-Aviv University)
12:15
–
2 p.m.
Lunch
2
–
3 p.m.
Indistinguishability Obfuscation and Learning Problems
Aayush Jain (NTT Research)
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
Low-Complexity Cryptography and Simple Hard-to-Learn Functions
Yuval Ishai (Technion - Israel Institute of Technology)
4:15
–
5:15 p.m.
Reception
Tuesday, Nov. 9, 2021
10
–
10:30 a.m.
On The Hardness Of Average-Case k-SUM
Noah Stephens-Davidowitz (Cornell University)
10:30
–
11 a.m.
Break
11 a.m.
–
12 p.m.
A Few Simple Average-Case Reduction Techniques And Their Surprising Effectiveness
Guy Bresler (MIT)
12
–
2 p.m.
Lunch
2
–
3 p.m.
Open Problems Session
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
Analyzing Average-Case Complexity by Meta-Complexity
Shuichi Hirahara (National Institute of Informatics, Tokyo)
Wednesday, Nov. 10, 2021
10
–
11 a.m.
Sum-Of-Squares Lower Bound for Statistical Problems
Samuel Hopkins (UC Berkeley)
11
–
11:30 a.m.
Break
11:30 a.m.
–
12:30 p.m.
Computational trade-offs in graph models
Quentin Berthet (University of Cambridge)
12:30
–
2 p.m.
Lunch
2
–
3 p.m.
Worst-Case Robustness in Machine Learning
Aditi Raghunathan (Stanford)
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
On the Cryptographic Hardness of Learning Single Periodic Neurons
Ilias Zadik (Massachusetts Institute of Technology)
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Industry Advisory Council
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