research
∙
04/06/2023
Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories
One of the new developments in chit-chat bots is a long-term memory mech...
share
research
∙
12/07/2022
DDoD: Dual Denial of Decision Attacks on Human-AI Teams
Artificial Intelligence (AI) systems have been increasingly used to make...
research
∙
11/04/2022
Unintended Memorization and Timing Attacks in Named Entity Recognition Models
Named entity recognition models (NER), are widely used for identifying n...
research
∙
10/22/2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Federated learning is a distributed learning paradigm which seeks to pre...
research
∙
05/01/2021
Hidden Backdoors in Human-Centric Language Models
Natural language processing (NLP) systems have been proven to be vulnera...
research
∙
03/12/2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
With an increase in low-cost machine learning APIs, advanced machine lea...
research
∙
02/23/2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Deep Neural Networks have achieved unprecedented success in the field of...
research
∙
08/20/2020
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning
Data holders are increasingly seeking to protect their user's privacy, w...
research
∙
07/22/2020
Exploiting Behavioral Side-Channels in Observation Resilient Cognitive Authentication Schemes
Observation Resilient Authentication Schemes (ORAS) are a class of share...
research
∙
07/16/2020
Deep Learning Backdoors
Intuitively, a backdoor attack against Deep Neural Networks (DNNs) is to...
research
∙
06/21/2020
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models
With the rise of third parties in the machine learning pipeline, the ser...
research
∙
01/13/2020
On the Resilience of Biometric Authentication Systems against Random Inputs
We assess the security of machine learning based biometric authenticatio...
research
∙
09/06/2019
Invisible Backdoor Attacks Against Deep Neural Networks
Deep neural networks (DNNs) have been proven vulnerable to backdoor atta...
research
∙
08/28/2019
On Inferring Training Data Attributes in Machine Learning Models
A number of recent works have demonstrated that API access to machine le...
research
∙
04/24/2019