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12/08/2022
Simulation of Attacker Defender Interaction in a Noisy Security Game
In the cybersecurity setting, defenders are often at the mercy of their ...
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03/07/2022
Robustness and Usefulness in AI Explanation Methods
Explainability in machine learning has become incredibly important as ma...
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03/06/2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Legislation and public sentiment throughout the world have promoted fair...
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09/23/2021
Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem
In cybersecurity, attackers range from brash, unsophisticated script kid...
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07/30/2021
Who's Afraid of Thomas Bayes?
In many cases, neural networks perform well on test data, but tend to ov...
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07/30/2021
Winning the Ransomware Lottery: A Game-Theoretic Model for Mitigating Ransomware Attacks
Ransomware is a growing threat to individuals and enterprises alike, con...
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05/19/2021
The State of AI Ethics Report (January 2021)
The 3rd edition of the Montreal AI Ethics Institute's The State of AI Et...
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03/16/2021
The Influence of Dropout on Membership Inference in Differentially Private Models
Differentially private models seek to protect the privacy of data the mo...
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03/03/2021
Information Security Games: A Survey
We introduce some preliminaries about game theory and information securi...
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11/05/2020
The State of AI Ethics Report (October 2020)
The 2nd edition of the Montreal AI Ethics Institute's The State of AI Et...
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09/16/2020
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
The attention that deep learning has garnered from the academic communit...
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07/09/2020
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
Security and ethics are both core to ensuring that a machine learning sy...
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06/25/2020
