11 citations · 14 across the 4 of their papers we have counts for
6 papers
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Hamed Karimi, Reza Samavi
Precise estimation of predictive uncertainty in deep neural networks is a critical requirement for reliable decision-making in machine learning and statistical modeling, particular…
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research
Rasha Kashef, Monika Freunek, Jeff Schwartzentruber +4
There is a perceived disconnect between how ad hoc industry solutions and academic research solutions in cyber security are developed and applied. Is there a difference in philosop…
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
Thomas E. Doyle, Victoria Tucci, Calvin Zhu +7
The rapid integration of artificial intelligence across traditional research domains has generated an amalgamation of nomenclature. As cross-discipline teams work together on compl…
ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work
Moe Sabry, Reza Samavi, Douglas Stebila
Data breaches-mass leakage of stored information-are a major security concern. Encryption can provide confidentiality, but encryption depends on a key which, if compromised, allows…
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
Yuting Liang, Reza Samavi
In this paper we provide an approach for deep learning that protects against adversarial examples in image classification-type networks. The approach relies on two mechanisms:1) a…
Mixed Strategy Game Model Against Data Poisoning Attacks
Yifan Ou, Reza Samavi
In this paper we use game theory to model poisoning attack scenarios. We prove the non-existence of pure strategy Nash Equilibrium in the attacker and defender game. We then propos…