Object Generation Attack

Object generation attacks target the object detection capabilities of deep learning models, particularly in autonomous driving systems, aiming to either fabricate objects or prevent the detection of existing ones. Current research focuses on understanding vulnerabilities in various model architectures, including those using Large Language Models (LLMs) and self-supervised learning (SSL), and developing both attack methods (e.g., using LiDAR manipulation or backdoor triggers) and defense mechanisms (e.g., leveraging 3D shadow analysis). The significance lies in the potential for these attacks to compromise the safety and reliability of AI-powered systems, highlighting the critical need for robust security measures in applications where accurate object detection is paramount.

Papers

September 22, 2024

Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song, Muslum Ozgur Ozmen, Hyungsub Kim, Antonio Bianchi, Z. Berkay Celik
Autonomous Driving Ground Truth Man in the Middle Attack Driving Agent Object Generation Attack

June 17, 2024

A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou, Yi Zhu, Qun Song, Rui Tan, Chunming Qiao, Wei-Bin Lee, Jianping Wang
Autonomous Driving Autonomous Vehicle Trajectory Prediction Deceptive Diffusion Object Generation Attack

March 20, 2024

Mask-based Invisible Backdoor Attacks on Object Detection
Jeongjin Shin
Backdoor Attack Invisible Backdoor Attack Object Generation Attack

December 30, 2023

SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection
Qiannan Wang, Changchun Yin, Lu Zhou, Liming Fang
Self Supervised Learning Backdoor Attack SSL Algorithm Object Generation Attack Dual Source Blending Attack

July 19, 2023

Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Yize Cheng, Wenbin Hu, Minhao Cheng
Backdoor Attack Alignment Problem Deep Learning Based Object Clean Label Backdoor Attack Effective Backdoor Attack Object Generation Attack

December 13, 2022

Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang, Changfeng Sun, Haoliang Han, Hongbin Sun
Adversarial Attack Adversarial Example Image Attack Feature Space Hijacking Attack Object Generation Attack

May 28, 2022

BadDet: Backdoor Attacks on Object Detection
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
Backdoor Attack Backdoor Trigger Object Generation Attack

April 29, 2022

Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception
Zhongyuan Hau, Soteris Demetriou, Emil C. Lupu
Autonomous Vehicle Object Detector 3D Object Detector Obstacle Detection Shadow Generation Autonomous Vehicle Perception Object Generation Attack