LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms

12 July 2021

Papers citing "LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms"

9 / 9 papers shown

Title
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles Abhishek Balasubramaniam Febin P. Sunny S. Pasricha 3DPC 44 0 0 08 Jan 2025
A Survey of Anomaly Detection in In-Vehicle Networks Ovgu Ozdemir M. Tuğberk İşyapar Pınar Karagöz Klaus Werner Schmidt Demet Demir N. A. Karagoz 28 0 0 11 Sep 2024
Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions S. Pasricha 67 0 0 30 Jul 2024
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning Abhishek Balasubramaniam Febin P. Sunny S. Pasricha VLM 38 12 0 03 Mar 2023
Robust Perception Architecture Design for Automotive Cyber-Physical Systems Joydeep Dey S. Pasricha 3DV 44 7 0 17 May 2022
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level Md Hasan Member Ieee Yang Xiao Senior Member Ieee Pablo Moriano Fellow Ieee Wenjing Lou F. I. Y. Thomas Hou 14 18 0 03 May 2022
Roadmap for Cybersecurity in Autonomous Vehicles Vipin Kumar Kukkala S. V. Thiruloga S. Pasricha 43 29 0 19 Jan 2022
TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems S. V. Thiruloga Vipin Kumar Kukkala S. Pasricha 45 22 0 09 Sep 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015