Explore professors working in adversarial machine learning and related research areas.
Use YourScholar to discover research opportunities and identify
professors whose work aligns with your academic interests.
Professors in Adversarial Machine Learning
Showing page 1 of 1 —
16 professors available publicly
Vitaly Shmatikov
Privacy Enhancing Technologies (PET)
Security and Privacy in Machine Learning
Adversarial Machine Learning
Vitaly Shmatikov is a professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Before Cornell, he worked at the University of Texas at Austin and SRI International. His research areas include digital privacy, comput...
Prateek Mittal
Privacy-Enhancing Technologies
Adversarial Machine Learning
Internet Security
Dr. Prateek Mittal is a Professor of Electrical and Computer Engineering at Princeton University, where he is also associated faculty in Computer Science and the Center for Information Technology Policy. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and con...
Meikang Qiu
Artificial Intelligence Security
Adversarial Machine Learning
Cybersecurity for AI Systems
Meikang Qiu is a Professor at Augusta University, GA. He is recognized as a Highly Cited Researcher and an ACM Distinguished Scientist and has been acknowledged as an IEEE Computer Society Distinguished Contributor. His research includes AI and Cyber Security
Binghui Wang
Trustworthy Artificial Intelligence (AI)
Security and Privacy in AI Systems
Adversarial Machine Learning
I have been an Assistant Professor in the Department of Computer Science at Illinois Institute of Technology (Illinois Tech) since August 2021. I am interested in Trustworthy AI and Security & Privacy.
I did my postdoc at Duke University from August 2019 to July 2021, working ...
Minghong Fang
AI Safety
AI Security
Adversarial Machine Learning
I am a tenure-track Assistant Professor in the Department of Computer Science and Engineering at University of Louisville. From 2022 to 2024, I was a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University. I received my Ph.D. in Electri...
Peter Garraghan
Adversarial Machine Learning
AI Security
Sustainable Computing
Peter Garraghan is a Professor of Distributed Systems at the Lancaster University and a co-founder of Mindgard. His research focuses on Distributed Systems, AI Security, Sustainable Computing, and Machine Learning Systems, with a particular emphasis on adversarial machine learnin...
Birhanu Eshete
Trustworthy Machine Learning
Adversarial Machine Learning
Privacy-Motivated Inference Attacks
I am an Associate Professor in the Department of Computer and Information Science at the University of Michigan, Dearborn, where I lead the Data-Driven Security & Privacy Lab (DSPLab). I am also a faculty affiliate at the Michigan Institute for Data Science (MIDAS) at the Univers...
Fabio Di Troia
adversarial machine learning
intrusion detection systems
malware analysis
Fabio Di Troia is an Assistant Professor at San José State University. His research interests include Machine Learning and Cybersecurity.
Tianyun Zhang
Alternating Direction Method of Multipliers (ADMM) for Weight Pruning
Model Compression for Deep Neural Networks
Robust Learning over Multiple Domains
Dr. Tianyun Zhang received his Ph.D. in electrical and computer engineering from Syracuse University in 2021. His research interests include model compression and hardware acceleration for artificial intelligence systems, adversarial machine learning and robust learning, and effi...
Ahmed Aleroud
Adversarial Machine Learning
Privacy-Preserving Machine Learning
Social Engineering Cyber Attacks
Dr. Ahmed Aleroud is an Associate Professor of Cyber Security Analytics at Augusta University. Prior to joining Augusta University, he served as a Visiting Associate Research Scientist and Postdoctoral Fellow at the University of Maryland, Baltimore County, and as an Associate Pr...
Shagufta Mehnaz
security and privacy in machine learning
adversarial machine learning
privacy-preserving machine learning
I am an Assistant Professor in the Department of Computer Science and Engineering at The Pennsylvania State University. My research interests are at the intersection of security, privacy, and machine learning. I received the NSF CAREER Award from the National Science Foundation (...
Kaleel Mahmood
Adversarial Machine Learning
Natural Language Processing (NLP)
Image Processing
Since 2024 I have been serving as an assistant professor in the department of computer science and statistics at URI. Before joining URI, I completed my PhD in computer science at the University of Connecticut under the supervision of Professor Marten van Dijk. My research spans ...
Nagender Aneja
Natural Language Processing (NLP)
Adversarial Machine Learning
Cybersecurity for Space Computing
Dr. Nagender Aneja is a Collegiate Associate Professor at Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA. He has previously worked as a research scholar in the Department of Computer Science at Purdue University, West Lafayette...
Md Tamjid Hossain
Adversarial Machine Learning
Federated Learning
Reinforcement Learning
Md Tamjid Hossain is a privacy and security expert currently serving as an Assistant Professor (Tenure-track) of Computer Science and Cybersecurity and the director of CiPH3R-Lab (https://ciph3rlab.github.io/) at Texas A&M University-San Antonio (A&M-SA). His research interests i...
Mesut Ozdag
deep learning for image processing
adversarial machine learning
medical image analysis
Mesut Ozdag is an assistant professor of computer science at the University of Central Florida. His research interests include deep learning for image processing, adversarial machine learning, medical image analysis, algorithm design, artificial intelligence for financial technol...
Farhath Zareen
bioinformatics
software security
hardware security
Dr. Farhath Zareen is an Assistant Professor in the Dept of Cyber and Computer Sciences at The Citadel. She earned her MS and Ph.D. in Computer Science from the University of South Florida in 2023. Her research interests include bioinformatics, software/hardware security, embedde...