Yi Zeng

Orcid: 0000-0002-6901-9194

Affiliations:
  • Virginia Tech, Blacksburg, VA, USA
  • Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China


According to our database1, Yi Zeng authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Safe Harbor for AI Evaluation and Red Teaming.
CoRR, 2024

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.
CoRR, 2024

2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning.
CoRR, 2023

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
CoRR, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR, 2023

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?
Proceedings of the 32nd USENIX Security Symposium, 2023

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms.
Proceedings of the 32nd USENIX Security Symposium, 2023

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.
Proceedings of the International Conference on Machine Learning, 2023

Towards Robustness Certification Against Universal Perturbations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
CoRR, 2022

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Unlearning of Backdoors via Implicit Hypergradient.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient.
CoRR, 2021

A Unified Framework for Task-Driven Data Quality Management.
CoRR, 2021

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Optimizing energy and spectrum efficiency of virtual optical network embedding in elastic optical networks.
Opt. Switch. Netw., 2020

2019
$Deep-Full-Range$ : A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework.
IEEE Access, 2019

Joint Energy and Spectrum Efficient Virtual Optical Network embedding in EONs.
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019


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