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Home/Authors/Ye Lu

Ye Lu

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×2Sound×1AI×1Distributed×1ML×1

Frequent co-authors

Yihan Yan1×
Zhaoyang Zhang1×
Zhitao Ou1×
Runze Liu1×
Li Liu1×
Shen Wang1×

Research Timeline

2026
TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement

The paper proposes a novel adversarial defense approach, TopFeaRe, by modeling graph adversarial attacks using complex dynamic system theory to locate the graph's critical state of resilience.

DPIFrame: A Dual-Level Parallelism Acceleration Framework for CTR Model Inference

This paper proposes DPIFrame, a dual parallelizable framework for accelerating Click-through rate (CTR) model inference on GPU, achieving state-of-the-art inference performance with significant speedups.

Do Speech Tokens Leak Voiceprints? Speaker Inversion Attacks Against End-to-End Speech Language Models

This paper introduces Audio BERT (AuB) and SpInv, methods for recovering embeddings from speech tokens and performing speaker inversion attacks using only three seconds of frontend output.

Highlighted terms show continued research focus across papers

Papers

cs.SDcs.AIcs.CREmpiricalRecentJul 18, 2026

Do Speech Tokens Leak Voiceprints? Speaker Inversion Attacks Against End-to-End Speech Language Models

Ye Lu, Yihan Yan, Zhaoyang Zhang, Zhitao Ou +3 more

This paper introduces Audio BERT (AuB) and SpInv, methods for recovering embeddings from speech tokens and performing speaker inversion attacks using only three seconds of frontend output.

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cs.DCEmpirical
Recent
Jun 19, 2026

DPIFrame: A Dual-Level Parallelism Acceleration Framework for CTR Model Inference

Dezhi Yi, Huifeng Guo, Kunpeng Xie, Zhaolong Jian +5 more

This paper proposes DPIFrame, a dual parallelizable framework for accelerating Click-through rate (CTR) model inference on GPU, achieving state-of-the-art inference performance with significant speedu…

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cs.CRcs.LGRecentApr 15, 2026

TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement

Xinxin Fan, Wenxiong Chen, Quanliang Jing, Chi Lin +3 more

The paper proposes a novel adversarial defense approach, TopFeaRe, by modeling graph adversarial attacks using complex dynamic system theory to locate the graph's critical state of resilience.

View →