research
∙
04/28/2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Inspired by recent findings that generative diffusion models learn seman...
share
research
∙
02/02/2022
Smoothed Embeddings for Certified Few-Shot Learning
Randomized smoothing is considered to be the state-of-the-art provable d...
research
∙
09/22/2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
In safety-critical machine learning applications, it is crucial to defen...
research
∙
12/14/2020
Robustness Threats of Differential Privacy
Differential privacy is a powerful and gold-standard concept of measurin...
research
∙
11/18/2020
Adversarial Turing Patterns from Cellular Automata
State-of-the-art deep classifiers are intriguingly vulnerable to univers...
research
∙
07/27/2020
Black-Box Face Recovery from Identity Features
In this work, we present a novel algorithm based on an it-erative sampli...
research
∙
07/14/2020
Follow the bisector: a simple method for multi-objective optimization
This study presents a novel Equiangular Direction Method (EDM) to solve ...
research
∙
06/28/2020
Geometry-Inspired Top-k Adversarial Perturbations
State-of-the-art deep learning models are untrustworthy due to their vul...
research
∙
12/03/2018
