Adversarial Attacks on Time Series Data

Adversarial Attacks on Time Series Data

Security vulnerabilities of state-of-art deep learning model for time series (LSTM) are exposed for regression and classification by adversarial attacks: Basic Iterative and Fast Gradient Sign Method.

Poster: https://drive.google.com/file/d/1bH2Z5Fhx5Q9NDFIUky97ATNkm23UWfHM/view?usp=sharing

Video: https://drive.google.com/file/d/1Sucs2WPe4UPsCpvR2e5rF0Bbs9HnauNH/view?usp=sharing

Project Poster: 

Project Members: 

Afra Akbaş
Ceren Tahtasız

Project Advisor: 

İnci Meliha Baytaş

Project Status: 

Project Year: 

2020
  • Spring

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

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