research
∙
06/20/2023
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets
Learning with Errors (LWE) is a hard math problem used in post-quantum c...
share
research
∙
03/07/2023
SALSA PICANTE: a machine learning attack on LWE with binary secrets
The Learning With Errors (LWE) problem is one of the major hard problems...
research
∙
02/08/2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Recent text-to-image diffusion models such as MidJourney and Stable Diff...
research
∙
08/29/2022
Data Isotopes for Data Provenance in DNNs
Today, creators of data-hungry deep neural networks (DNNs) scour the Int...
research
∙
07/11/2022
SALSA: Attacking Lattice Cryptography with Transformers
Currently deployed public-key cryptosystems will be vulnerable to attack...
research
∙
06/21/2022
Natural Backdoor Datasets
Extensive literature on backdoor poison attacks has studied attacks and ...
research
∙
05/21/2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Server breaches are an unfortunate reality on today's Internet. In the c...
research
∙
02/11/2022
Assessing Privacy Risks from Feature Vector Reconstruction Attacks
In deep neural networks for facial recognition, feature vectors are nume...
research
∙
12/08/2021
SoK: Anti-Facial Recognition Technology
The rapid adoption of facial recognition (FR) technology by both governm...
research
∙
09/20/2021
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World
Advances in deep learning have introduced a new wave of voice synthesis ...
research
∙
06/25/2020
Backdoor Attacks on Facial Recognition in the Physical World
Backdoor attacks embed hidden malicious behaviors inside deep neural net...
research
∙
06/24/2020
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks
The vulnerability of deep neural networks (DNNs) to adversarial examples...
research
∙
02/19/2020
