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Home/Authors/Maksuda Bilkis Baby

Maksuda Bilkis Baby

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Software Eng.×2AI×2Crypto×2

Frequent co-authors

Khushika Shah2×
Naiyue Liang2×
Lei Zhang2×

Research Timeline

2026
Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection

The paper proposes a novel hybrid CNN-CodeBERT framework for three-class credential leakage detection, significantly improving accuracy by explicitly distinguishing genuine secrets from weak or placeholder credentials.

Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection

The paper introduces a hybrid CNN-CodeBERT framework for three-class credential leakage detection, significantly improving accuracy by explicitly distinguishing genuine secrets from non-secret placeholders.

Highlighted terms show continued research focus across papers

Papers

cs.SEcs.AIcs.CRRecentMay 29, 2026

Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection

Maksuda Bilkis Baby, Khushika Shah, Naiyue Liang, Lei Zhang

The paper proposes a novel hybrid CNN-CodeBERT framework for three-class credential leakage detection, significantly improving accuracy by explicitly distinguishing genuine secrets from weak or placeh…

View →
cs.SEcs.AIcs.CRRecentMay 29, 2026

Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection

Maksuda Bilkis Baby, Khushika Shah, Naiyue Liang, Lei Zhang

The paper introduces a hybrid CNN-CodeBERT framework for three-class credential leakage detection, significantly improving accuracy by explicitly distinguishing genuine secrets from non-secret placeho…

View →