Zhiyuan Cheng

Orcid: 0000-0001-7280-6079

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Zhiyuan Cheng authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization.
Proc. VLDB Endow., April, 2024

Attack as Defense: Run-time Backdoor Implantation for Image Content Protection.
CoRR, 2024

DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation.
CoRR, 2024

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation.
CoRR, 2024

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA based Mixture of Experts.
CoRR, 2024

A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.
CoRR, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022


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