research
∙
11/18/2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Though the background is an important signal for image classification, o...
share
research
∙
08/28/2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Many applications of reinforcement learning can be formalized as goal-co...
research
∙
03/16/2022
Provable Adversarial Robustness for Fractional Lp Threat Models
In recent years, researchers have extensively studied adversarial robust...
research
∙
01/28/2022
Certifying Model Accuracy under Distribution Shifts
Certified robustness in machine learning has primarily focused on advers...
research
∙
12/08/2021
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Object detection plays a key role in many security-critical systems. Adv...
research
∙
06/21/2021
Policy Smoothing for Provably Robust Reinforcement Learning
The study of provable adversarial robustness for deep neural network (DN...
research
∙
03/17/2021
Improved, Deterministic Smoothing for L1 Certified Robustness
Randomized smoothing is a general technique for computing sample-depende...
research
∙
10/20/2020
Tight Second-Order Certificates for Randomized Smoothing
Randomized smoothing is a popular way of providing robustness guarantees...
research
∙
09/17/2020
Certifying Confidence via Randomized Smoothing
Randomized smoothing has been shown to provide good certified-robustness...
research
∙
09/05/2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Adversarial training is a popular defense strategy against attack threat...
research
∙
06/26/2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Adversarial poisoning attacks distort training data in order to corrupt ...
research
∙
02/25/2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Patch adversarial attacks on images, in which the attacker can distort p...
research
∙
02/08/2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Randomized smoothing, using just a simple isotropic Gaussian distributio...
research
∙
11/21/2019
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
Recently, techniques have been developed to provably guarantee the robus...
research
∙
10/23/2019
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
In the last couple of years, several adversarial attack methods based on...
research
∙
05/28/2019
