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Found 9 papers, 0 papers with code
Differentially Private Analysis of Outliers
One is the query to count outliers, which reports the number of outliers that appear in a given subspace.
Differentially Private Chi-squared Test by Unit Circle Mechanism
This paper develops differentially private mechanisms for $\chi^2$ test of independence.
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Lipschitz margin training (LMT) is a scalable certified defense, but it can also only achieve small robustness due to over-regularization.
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems
Thanks to recent advances in deep neural networks (DNNs), face recognition systems have become highly accurate in classifying a large number of face images.
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems
This paper introduces a novel adversarial example generation method against face recognition systems (FRSs).
Universal Adversarial Spoofing Attacks against Face Recognition
We assess the vulnerabilities of deep face recognition systems for images that falsify/spoof multiple identities simultaneously.
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems
Notably, our smoothness loss results in a 1. 17 and 1. 97 times better mean attack success rate (ASR) in physical white-box and black-box attacks, respectively.
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Deep Metric Learning (DML) is a prominent field in machine learning with extensive practical applications that concentrate on learning visual similarities.
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components
In this work, we investigate the potential threat of adversarial examples to the security of face recognition systems.
