43 citations · 144 across the 27 of their papers we have counts for
5 papers · 1 filter
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning
Benjamin Zi Hao Zhao, Mohamed Ali Kaafar, Nicolas Kourtellis
Data holders are increasingly seeking to protect their user's privacy, whilst still maximizing their ability to produce machine models with high quality predictions. In this work,…
Exploiting Behavioral Side-Channels in Observation Resilient Cognitive Authentication Schemes
Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar +2
Observation Resilient Authentication Schemes (ORAS) are a class of shared secret challenge-response identification schemes where a user mentally computes the response via a cogniti…
Deep Learning Backdoors
Shaofeng Li, Shiqing Ma, Minhui Xue +1
Intuitively, a backdoor attack against Deep Neural Networks (DNNs) is to inject hidden malicious behaviors into DNNs such that the backdoor model behaves legitimately for benign in…
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models
Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue +2
With the rise of third parties in the machine learning pipeline, the service provider in "Machine Learning as a Service" (MLaaS), or external data contributors in online learning,…
On the Resilience of Biometric Authentication Systems against Random Inputs
Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar
We assess the security of machine learning based biometric authentication systems against an attacker who submits uniform random inputs, either as feature vectors or raw inputs, in…