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04/27/2022
A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions
With the advent of 5G commercialization, the need for more reliable, fas...
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06/16/2021
Real-time Attacks Against Deep Reinforcement Learning Policies
Recent work has discovered that deep reinforcement learning (DRL) polici...
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01/06/2021
FLGUARD: Secure and Private Federated Learning
Recently, a number of backdoor attacks against Federated Learning (FL) h...
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08/17/2020
WAFFLE: Watermarking in Federated Learning
Creators of machine learning models can use watermarking as a technique ...
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10/11/2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Recently, machine learning (ML) has introduced advanced solutions to man...
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10/10/2019
Detecting organized eCommerce fraud using scalable categorical clustering
Online retail, eCommerce, frequently falls victim to fraud conducted by ...
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06/03/2019
DAWN: Dynamic Adversarial Watermarking of Neural Networks
Training machine learning (ML) models is expensive in terms of computati...
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05/07/2018
PRADA: Protecting against DNN Model Stealing Attacks
As machine learning (ML) applications become increasingly prevalent, pro...
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04/20/2018
DIoT: A Self-learning System for Detecting Compromised IoT Devices
IoT devices are being widely deployed. Many of them are vulnerable due t...
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04/20/2018