Search Results for author: Kang G. Shin

Found 4 papers, 1 papers with code

DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System

no code implementations3 Feb 2023 Minkyoung Cho, Kang G. Shin

As deep neural networks (DNNs) prove their importance and feasibility, more and more DNN-based apps, such as detection and classification of objects, have been developed and deployed on autonomous vehicles (AVs).

Autonomous Vehicles

Is Boeing 737-MAX Still Safe? Analysis and Prevention of MCAS-Induced Crashes

no code implementations20 Jan 2023 Noah T. Curran, Thomas Kennings, Kang G. Shin

Using these insights, we present Semi-Autonomous MCAS (SA-MCAS), a new MCAS that both meets the intended goals of MCAS and avoids the failure cases that plagued the original MCAS design.

Federated User Representation Learning

no code implementations ICLR 2020 Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin

Furthermore, we show that user embeddings learned in FL and the centralized setting have a very similar structure, indicating that FURL can learn collaboratively through the shared parameters while preserving user privacy.

Federated Learning Privacy Preserving +1

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

2 code implementations7 Feb 2018 Hamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub, Kang G. Shin, Karl Aberer

Companies, users, researchers, and regulators still lack usable and scalable tools to cope with the breadth and depth of privacy policies.

Language Modelling Question Answering

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