Search Results for author: Vidit Khazanchi

Found 2 papers, 1 papers with code

MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception

no code implementations24 Apr 2024 Vidit Khazanchi, Pavan Kulkarni, Yuvaraj Govindarajulu, Manojkumar Parmar

To address this, we propose a methodology combining SHapley Additive exPlanations (SHAP) for feature importance analysis with an innovative Optimal Epsilon technique for conducting evasion attacks.

Feature Importance

Attacks on Third-Party APIs of Large Language Models

1 code implementation24 Apr 2024 Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

Large language model (LLM) services have recently begun offering a plugin ecosystem to interact with third-party API services.

Language Modelling Large Language Model

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