Siyuan Cheng

Orcid: 0009-0006-0903-6917

Affiliations:
  • Purdue University, Department of Computer Science, West Lafayette, IN, USA


According to our database1, Siyuan Cheng authored at least 26 papers between 2020 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:

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Bibliography

2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening.
CoRR, 2024

LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning.
CoRR, 2024

Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia.
CoRR, 2024

Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs.
CoRR, 2024

Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion.
Proceedings of the 33rd USENIX Security Symposium, 2024

On Large Language Models' Resilience to Coercive Interrogation.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Exploring the Orthogonality and Linearity of Backdoor Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

OdScan: Backdoor Scanning for Object Detection Models.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs.
CoRR, 2023

LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis.
CoRR, 2023

Hard-label Black-box Universal Adversarial Patch Attack.
Proceedings of the 32nd USENIX Security Symposium, 2023

ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MEDIC: Remove Model Backdoors via Importance Driven Cloning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detecting Backdoors in Pre-trained Encoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models.
CoRR, 2022

DECK: Model Hardening for Defending Pervasive Backdoors.
CoRR, 2022

2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Feature Space Adversarial Attack by Style Perturbation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Feature Space Adversarial Attack.
CoRR, 2020


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