55 citations · 220 across the 35 of their papers we have counts for
30 papers · 1 filter
Backdooring Textual Inversion for Concept Censorship
Yutong Wu, Jie Zhang, Florian Kerschbaum +1
Recent years have witnessed success in AIGC (AI Generated Content). People can make use of a pre-trained diffusion model to generate images of high quality or freely modify existin…
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas, Florian Kerschbaum
Deep image classification models trained on vast amounts of web-scraped data are susceptible to data poisoning - a mechanism for backdooring models. A small number of poisoned samp…
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries +9
Machine Learning as a Service (MLaaS) is an increasingly popular design where a company with abundant computing resources trains a deep neural network and offers query access for t…
Comprehension from Chaos: Towards Informed Consent for Private Computation
Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury +2
Private computation, which includes techniques like multi-party computation and private query execution, holds great promise for enabling organizations to analyze data they and the…
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection
Florian Kerschbaum, Erik-Oliver Blass, Rasoul Akhavan Mahdavi
In a Private section intersection (PSI) protocol, Alice and Bob compute the intersection of their respective sets without disclosing any element not in the intersection. PSI protoc…
The Limits of Word Level Differential Privacy
Justus Mattern, Benjamin Weggenmann, Florian Kerschbaum
As the issues of privacy and trust are receiving increasing attention within the research community, various attempts have been made to anonymize textual data. A significant subset…