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lwlog's Introduction

Is Deep Learning secure for Robots?

Ph.D. Student at the University of Exeter in the U.K. for Deep Learning Security in Autonomous Systems. Prior research experience at RT-Thread, LAIX, Xilinx.

Latest

  • [2023-11] Workshop: Introduction to HPC & ISCA. Event Link
  • [2023-09] Data Study Groups: The Alan Turing Institute. Event Link
  • [2023-08] Awarded the Open Research Reward.
  • [2023-06] PGR Conference: The Third-Year Report. Talk Slides
  • [2023-06] IEEE Intelligent Vehicle Symposium, Anchorage, Alaska, USA. Oral | Poster
  • [2023-06] Invited Talk: Deep Learning Security for Robots, RT-Thread Global Tech Conference. Talk Slides
  • [2023-01] Invited Talk: An introduction to RT-Thread, OpenEuler Meetup. Event Poster
  • [2022-10] Invited Talk: Deep Learning Security for IoT, Manipal University Jaipur. Event Poster
  • [2022-10] Paper: Distributed Black-box Attack against Image Classification Cloud Services. PDF
  • [2022-09] Paper: Adversarial Detection: Attacking Object Detection in Real Time. PDF
  • [2022-08] Paper: Man-in-the-Middle Attack against Object Detection Systems. PDF
  • [2022-08] Paper: Adversarial Driving: Attacking End-to-End Autonomous Driving. PDF
  • [2022-07] New Supervisors: Prof. Johan Wahlström and Prof. Sareh Rowlands.
  • [2021-11] Invited Talk: Embedded System Programming, Manipal University Jaipur. Event Poster
  • [2021-09] Invited Talk: Adversarial Attacks against Deep Learning, AI/ML in Industry and Finance. Talk Slides
  • [2021-09] Invited Talk: Robot Operating System (ROS) on RT-Thread, RT-Thread Global Tech Conference. Talk Slides
  • [2021-04] Paper: Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. PDF
  • [2020-10] The Beginning of my Ph.D. Journey.

Education

Internship

Research Projects

Adversarial Driving   Adversarial Detection  

Side Projects

16-bit  CPU   32-bit SoC

16-bit  CPU   32-bit SoC

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