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10/25/2022
Accelerating Certified Robustness Training via Knowledge Transfer
Training deep neural network classifiers that are certifiably robust aga...
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10/24/2022
Ares: A System-Oriented Wargame Framework for Adversarial ML
Since the discovery of adversarial attacks against machine learning mode...
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02/21/2022
Transferring Adversarial Robustness Through Robust Representation Matching
With the widespread use of machine learning, concerns over its security ...
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11/27/2019
Can Attention Masks Improve Adversarial Robustness?
Deep Neural Networks (DNNs) are known to be susceptible to adversarial e...
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10/26/2019
Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search
Cooperative task assignment is an important subject in multi-agent syste...
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10/08/2019
New Problems and Solutions in IoT Security and Privacy
In a previous article for S P magazine, we made a case for the new int...
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09/12/2019
Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Machine learning has proven to be an extremely useful tool for solving c...
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07/31/2019
VISCR: Intuitive Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures
Consumer IoT is characterized by heterogeneous devices with diverse func...
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07/20/2018
Physical Adversarial Examples for Object Detectors
Deep neural networks (DNNs) are vulnerable to adversarial examples-malic...
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01/14/2018
Tyche: Risk-Based Permissions for Smart Home Platforms
Emerging smart home platforms, which interface with a variety of physica...
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12/21/2017