Yunhan Jia

Yunhan Jia is a senior security scientist at Baidu X-Lab. He obtained his PhD from University of Michigan with a research focus on smartphones, IoT, and autonomous vehicle security. His past research revealed the open port vulnerabilities in apps that exposed millions of Android devices to remote exploits. He is currently working on the memory safety and deep learning model security issues of autonomous vehicle platform.

• Dynamic Presentation Playlist

Presentations:

• 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
• 2018-12-06 13:30 - Black Hat Europe 2018 - Perception Deception: Physical Adversarial Attack Challenges and Tactics for DNN-Based Object Detection

Copresenters:

• Zhenyu Zhong
  • 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
  • 2018-12-06 13:30 - Black Hat Europe 2018 - Perception Deception: Physical Adversarial Attack Challenges and Tactics for DNN-Based Object Detection
• Tao Wei
  • 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
  • 2018-12-06 13:30 - Black Hat Europe 2018 - Perception Deception: Physical Adversarial Attack Challenges and Tactics for DNN-Based Object Detection
• Qian Feng
  • 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
• Yulong Zhang
  • 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
• Yantao Lu
  • 2019-03-28 17:00 - Black Hat Asia 2019 - The Cost of Learning from the Best: How Prior Knowledge Weakens the Security of Deep Neural Networks
• Weilin Xu
  • 2018-12-06 13:30 - Black Hat Europe 2018 - Perception Deception: Physical Adversarial Attack Challenges and Tactics for DNN-Based Object Detection