
The Trustworthy Artificial Intelligence Research Lab (TAILab) in the Department of Electrical and Computer Engineering at Ryerson University is focused on research on understanding trust on machine learning particularly from information security perspective. While we are interested on data security research in its classical sense, in our research we see data as a dynamic entity that its characteristics change throughout its lifecycle, from sensing, collection, used in learning and inferencing to the time that it turns to a decision (Data product). Therefore, a major focus of my research group is on the security and privacy of algorithmic rendering of data using machine learning. By understanding data and its security, we are also interested to support privacy, transparency and accountability on data and its products through formalizing validation, attribution and evidence. (Please see my interview).
We meet bi-weekly to discuss research topics on AI and Machine Learning Security, Privacy. Please see the meeting schedule and discussion topics here. If you are interested to attend please contact Reza Samavi.
Security & Privacy
Machine Learning
Semantic Web
Optimization
Machine Learning
Medical AI
Machine Learning Robustness
Secure Machine Learning
Optimization
Machine Learning
Bioinformatics & eHealth
Optimization
Security
Cryptography
Optimization
Machine Learning
Bioinformatics & eHealth
Security & Privacy
Machine Learning
Security & Privacy
Machine Learning
Blockchain
Semantic Web
Machine Learning
Social Good
Security & Privacy
Machine Learning
Social Networks
Security & Privacy
Optimization
Machine Learning
Security & Privacy
Optimization
Machine Learning
Security
Privacy
Copyright (c) Reza Samavi. All rights reserved.