Yedi Zhang

Orcid: 0000-0003-1005-2114

According to our database1, Yedi Zhang authored at least 14 papers between 2019 and 2024.

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Bibliography

2024
A Proactive and Dual Prevention Mechanism against Illegal Song Covers empowered by Singing Voice Conversion.
CoRR, 2024

Towards Efficient Verification of Quantized Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Compositional Verification of Efficient Masking Countermeasures against Side-Channel Attacks.
Proc. ACM Program. Lang., October, 2023

Precise Quantitative Analysis of Binarized Neural Networks: A BDD-based Approach.
ACM Trans. Softw. Eng. Methodol., May, 2023

A Theory of Unimodal Bias in Multimodal Learning.
CoRR, 2023

SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems.
CoRR, 2023

QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems.
Proceedings of the 32nd USENIX Security Symposium, 2023

QEBVerif: Quantization Error Bound Verification of Neural Networks.
Proceedings of the Computer Aided Verification - 35th International Conference, 2023

2022
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks.
CoRR, 2022

CLEVEREST: Accelerating CEGAR-based Neural Network Verification via Adversarial Attacks.
Proceedings of the Static Analysis - 29th International Symposium, 2022

QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
BDD4BNN: A BDD-Based Quantitative Analysis Framework for Binarized Neural Networks.
Proceedings of the Computer Aided Verification - 33rd International Conference, 2021

2019
Making Agents' Abilities Explicit.
IEEE Access, 2019

Probabilistic Alternating-Time <i>µ</i>-Calculus.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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