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08/20/2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highl...
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05/20/2023
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Multi-task learning (MTL) creates a single machine learning model called...
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04/24/2023
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Biologically inspired Spiking Neural Networks (SNNs) have attracted sign...
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11/26/2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
Recent advances in adversarial machine learning have shown that defenses...
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09/22/2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Authentication systems are vulnerable to model inversion attacks where a...
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09/07/2022
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples
Spiking neural networks (SNNs) have attracted much attention for their h...
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09/29/2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
The field of adversarial machine learning has experienced a near exponen...
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06/18/2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Recent defenses published at venues like NIPS, ICML, ICLR and CVPR are m...
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10/03/2019