2 citations · 2 across the 2 of their papers we have counts for
6 papers
Protecting User Prompts Via Character-Level Differential Privacy
Shashie Dilhara Batan Arachchige, Hassan Jameel Asghar, Benjamin Zi Hao Zhao +2
Large Language Models (LLMs) generate responses based on user prompts. Often, these prompts may contain highly sensitive information, including personally identifiable information…
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Wanchuang Zhu, Benjamin Zi Hao Zhao, Simon Luo +2
Byzantine attacks hinder the deployment of federated learning algorithms. Although we know that the benign gradients and Byzantine attacked gradients are distributed differently, t…
-Privacy for Text and the Curse of Dimensionality
Hassan Jameel Asghar, Robin Carpentier, Benjamin Zi Hao Zhao +1
A widely used method to ensure privacy of unstructured text data is the multidimensional Laplace mechanism for -privacy, which is a relaxation of differential privacy for metr…
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
Robin Carpentier, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +1
Interactions with online Large Language Models raise privacy issues where providers can gather sensitive information about users and their companies from the prompts. While textual…
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs
Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar +1
Users may inadvertently upload personally identifiable information (PII) to Machine Learning as a Service (MLaaS) providers. When users no longer want their PII on these services,…
GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models
Benjamin Zi Hao Zhao, Muhammad Ikram, Mohamed Ali Kaafar
OpenAI's ChatGPT initiated a wave of technical iterations in the space of Large Language Models (LLMs) by demonstrating the capability and disruptive power of LLMs. OpenAI has prom…