|
Workshop
|
|
A First Order Meta Stackelberg Method for Robust Federated Learning
|
|
|
Workshop
|
|
Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
|
|
|
Workshop
|
|
Provably Robust Cost-Sensitive Learning via Randomized Smoothing
Yuan Xin · Michael Backes · Xiao Zhang
|
|
|
Workshop
|
|
Shrink & Cert: Bi-level Optimization for Certified Robustness
|
|
|
Workshop
|
|
Shrink & Cert: Bi-level Optimization for Certified Robustness
Kavya Gupta · Sagar Verma
|
|
|
Workshop
|
|
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan · Tao Li · Henger Li · Tianyi Xu · Quanyan Zhu · Zizhan Zheng
|
|
|
Workshop
|
|
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
|
|
|
Poster
|
Tue 17:00
|
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
Jianhao Ma · Salar Fattahi
|
|
|
Workshop
|
|
Provably Robust Cost-Sensitive Learning via Randomized Smoothing
|
|
|
Workshop
|
|
Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
|
|
|
Workshop
|
|
Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
Cornelius Emde · Francesco Pinto · Thomas Lukasiewicz · Phil Torr · Adel Bibi
|
|
|
Poster
|
Wed 14:00
|
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams · Andrea Patane · Morteza Lahijanian · Luca Laurenti
|
|
