Siyuan Cheng

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


According to our database1, Siyuan Cheng authored at least 22 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

On csauthors.net:

Bibliography

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

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

Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift.
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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