USC + Amazon Center on secure and trusted machine learning,,,,,,,, Established in January 2021 to support basic research and development of new approaches to Machine Learning (ML) Privacy, Security and Reliability, announced today that it has chosen six research projects for 2023-2024, including oven facial projects and two academic projects by new Amazon ML fellowships.
“The USC-Amazon Partnership is still blooming,” said Yannis C. Yortsos, Dean of USC Viterbi School of Engineering. “The choice of the new projects and fellows is another testimony to the quality and strength of our partnership. We look for their successful and effective implementation for the collective, societal benefit.
Below is information about the six research project hit, included their research areas:
Faculty control
- Salman AvstimehrDean’s Professor of Electric and Computer Technology and Computer Science: “Promoting continuous and federal learning with self and mixed supervision. “ Avstimehr’s research goal is to better utilize unmarked data under the data heterogeneity and privacy limitations for distributed learning settings using two different approaches.
- Muhao ChenResearch Assistant Professor in Computer Science: “Robust (controlled) natural-linguistic generation with Structure-Deputy Equivariance learning. “ Chen’s research seeks to tackle challenges associated with using prior sequence-to-sequence models for controlled natural-langage generation (NLG) using a new NLG frame based on Structure Equivarian’s learning.
- Lars LindemannProfessor of Computer Science and Soutirini ChattpadyayDeputy in Computer Science: “Still don’t trust me? Building reliable AI coding generation. “ Their research suggested a new framework that breaks down the intended user behavior to a number of code suggestions and adapts dynamically to the Mainain Trust.
- Constantinos PsounisProfessor of Electric and Computer Technology and Computer Science: “Private labeling and learning to voice assistants with cameras. “ PSounis’ research will take on the challenge of achieving and keeping the privacy of user videos using a variety of approaches.
Academic-Sellow Contaisse
- Brihi Joshi is a third-year computer science-PhD student, advised by Xiang Ren. Joshi’s research goal is to incorporate human-centered explanability into NLP systems, inspired by how people interact between and with these systems, while borrowing insights from other disciplines.
- Fei Wang is a Ph.D. -Candidate in computer science department, advised by Chen. His research interests lie in natural-linguistic treatment and machine learning, and his long-term goal is to build robust, controllable and responsible Largage model-based systems.
“Generative AI has recently ignited an in -depth set of questions to understand the societal effects of AI,” said Avstimehr, the IEAUGURAL Director of the USC + Amazon Center, which is also Amazon. “In studies such as privacy, security, reliability and ownership have received hitherto attention so far, our vision emphasizes when we started the center three years ago.”