25 citations · 105 across the 35 of their papers we have counts for
42 papers
SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy
Shashie Dilhara Batan Arachchige, Robin Carpentier, Hassan Jameel Asghar +1
User prompts provided to large language models (LLMs) may contain private information. One way to protect them is to execute the LLM inside a trusted execution environment (TEE). H…
Scalable AI-Driven Analytics for User Engagement and Stance Detection on Social Media
Thammitage Piyumi Wathsala Seneviratne, Muhammad Ikram, Dinusha Vatsalan +2
Social media platforms have become a major vector for the large-scale dissemination of misinformation and conspiracy content, posing significant risks to public trust, health, and…
Answering Counting Queries with Differential Privacy on a Quantum Computer
Arghya Mukherjee, Hassan Jameel Asghar, Gavin K. Brennen
Differential privacy is a mathematical notion of data privacy that has fast become the de facto standard in privacy-preserving data analysis. Recently a lot of work has focused on…
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…
CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +2
Large Language Models (LLMs) are often fine-tuned to adapt their general-purpose knowledge to specific tasks and domains such as cyber threat intelligence (CTI). Fine-tuning is mos…
Privacy-Preserving IoT in Connected Aircraft Cabin
Nilesh Vyas, Benjamin Zhao, Aygün Baltaci +6
The proliferation of IoT devices in shared, multi-vendor environments like the modern aircraft cabin creates a fundamental conflict between the promise of data collaboration and th…
VWAttacker: A Systematic Security Testing Framework for Voice over WiFi User Equipments
Imtiaz Karim, Hyunwoo Lee, Hassan Asghar +4
We present VWAttacker, the first systematic testing framework for analyzing the security of Voice over WiFi (VoWiFi) User Equipment (UE) implementations. VWAttacker includes a comp…
A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem
Sunday Oyinlola Ogundoyin, Muhammad Ikram, Hassan Jameel Asghar +2
Millions of users leverage generative pretrained transformer (GPT)-based language models developed by leading model providers for a wide range of tasks. To support enhanced user in…
Property-Preserving Hashing for -Distance Predicates: Applications to Countering Adversarial Input Attacks
Hassan Asghar, Chenhan Zhang, Dali Kaafar
Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Recently, they have been shown to succumb to ad…
The Qudit Cirq Library: An Extension of Google's Cirq Library for Qudits
Svyatoslav Kushnarev, Hassan Jameel Asghar
This document contains a guide on how to use the Qudit Cirq library, an extension of Google's Cirq library for qudits. While Cirq provides necessary building blocks for quantum com…
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,…
-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…
Efficient Fault-Tolerant Quantum Protocol for Differential Privacy in the Shuffle Model
Hassan Jameel Asghar, Arghya Mukherjee, Gavin K. Brennen
We present a quantum protocol which securely and implicitly implements a random shuffle to realize differential privacy in the shuffle model. The shuffle model of differential priv…
On the Robustness of Malware Detectors to Adversarial Samples
Muhammad Salman, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +3
Adversarial examples add imperceptible alterations to inputs with the objective to induce misclassification in machine learning models. They have been demonstrated to pose signific…
ConvoCache: Smart Re-Use of Chatbot Responses
Conor Atkins, Ian Wood, Mohamed Ali Kaafar +3
We present ConvoCache, a conversational caching system that solves the problem of slow and expensive generative AI models in spoken chatbots. ConvoCache finds a semantically simila…
Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
Tariq Bontekoe, Hassan Jameel Asghar, Fatih Turkmen
Local differential privacy (LDP) enables the efficient release of aggregate statistics without having to trust the central server (aggregator), as in the central model of different…
Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
Hassan Jameel Asghar, Zhigang Lu, Zhongrui Zhao +1
Two parties wish to collaborate on their datasets. However, before they reveal their datasets to each other, the parties want to have the guarantee that the collaboration would be…
On the Adversarial Inversion of Deep Biometric Representations
Gioacchino Tangari, Shreesh Keskar, Hassan Jameel Asghar +1
Biometric authentication service providers often claim that it is not possible to reverse-engineer a user's raw biometric sample, such as a fingerprint or a face image, from its ma…
Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories
Conor Atkins, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +2
One of the new developments in chit-chat bots is a long-term memory mechanism that remembers information from past conversations for increasing engagement and consistency of respon…
Use of Cryptography in Malware Obfuscation
Hassan Jameel Asghar, Benjamin Zi Hao Zhao, Muhammad Ikram +4
Malware authors often use cryptographic tools such as XOR encryption and block ciphers like AES to obfuscate part of the malware to evade detection. Use of cryptography may give th…
Unintended Memorization and Timing Attacks in Named Entity Recognition Models
Rana Salal Ali, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +3
Named entity recognition models (NER), are widely used for identifying named entities (e.g., individuals, locations, and other information) in text documents. Machine learning base…
Privacy Preserving Release of Mobile Sensor Data
Rahat Masood, Wing Yan Cheng, Dinusha Vatsalan +3
Sensors embedded in mobile smart devices can monitor users' activity with high accuracy to provide a variety of services to end-users ranging from precise geolocation, health monit…
A Differentially Private Framework for Deep Learning with Convexified Loss Functions
Zhigang Lu, Hassan Jameel Asghar, Mohamed Ali Kaafar +2
Differential privacy (DP) has been applied in deep learning for preserving privacy of the underlying training sets. Existing DP practice falls into three categories - objective per…