13 citations · 23 across the 14 of their papers we have counts for
15 papers
The Agent Clicks Approve: Injected Page Text Makes Browser Agents Authorize Access the Task Never Named
Md Imran Hossen
A browser agent that works in its user's signed-in session can be steered by a two-sentence note on a page it reads into approving a third party's access to the user's account. The…
ThermoCAPTCHA: Privacy-Preserving Human Verification with Farm-Resistant Traceable Tokens
Shovon Paul, Md Imran Hossen, Xiali Hei
CAPTCHAs remain a critical defense against automated abuse, yet modern systems suffer from well-known limitations in usability, accessibility, and resistance to increasingly capabl…
Unified Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Md Imran Hossen, Liqun Shan +3
The optimization of the transpose convolution layer for deep learning applications is achieved with the kernel segregation mechanism. However, kernel segregation has disadvantages,…
Differentially private fine-tuned NF-Net to predict GI cancer type
Sai Venkatesh Chilukoti, Imran Hossen Md, Liqun Shan +2
Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) and Microsatellite Stable (MSS). Immunotherapy is used to diagnose MSI, whereas radi…
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
Md Imran Hossen, Xiali Hei
The advent of instruction-tuned Large Language Models designed for coding tasks (Code LLMs) has transformed software engineering practices. However, their robustness against variou…
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
Md. Shohanur Islam Sobuj, Md. Imran Hossen, Md. Foysal Mahmud +1
Rice disease classification is a critical task in agricultural research, and in this study, we rigorously evaluate the impact of integrating feature extraction methodologies within…
Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models
Xu Ji, Jianyi Zhang, Ziyin Zhou +5
Ensuring the resilience of Large Language Models (LLMs) against malicious exploitation is paramount, with recent focus on mitigating offensive responses. Yet, the understanding of…
Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks
Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan +3
Instruction-tuned Large Language Models designed for coding tasks are increasingly employed as AI coding assistants. However, the cybersecurity vulnerabilities and implications ari…
Facebook Report on Privacy of fNIRS data
Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan +2
The primary goal of this project is to develop privacy-preserving machine learning model training techniques for fNIRS data. This project will build a local model in a centralized…
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold
Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan +4
Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately,…
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA
Md Imran Hossen, Xiali Hei
CAPTCHAs are designed to prevent malicious bot programs from abusing websites. Most online service providers deploy audio CAPTCHAs as an alternative to text and image CAPTCHAs for…
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
Md Imran Hossen, Ashraful Islam, Farzana Anowar +4
Due to the variety of cyber-attacks or threats, the cybersecurity community enhances the traditional security control mechanisms to an advanced level so that automated tools can en…
A Low-Cost Attack against the hCaptcha System
Md Imran Hossen, Xiali Hei
CAPTCHAs are a defense mechanism to prevent malicious bot programs from abusing websites on the Internet. hCaptcha is a relatively new but emerging image CAPTCHA service. This pape…
A Survey on Limitation, Security and Privacy Issues on Additive Manufacturing
Md Nazmul Islam, Yazhou Tu, Md Imran Hossen +2
Additive manufacturing (AM) is growing as fast as anyone can imagine, and it is now a multi-billion-dollar industry. AM becomes popular in a variety of sectors, such as automotive,…
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen +3
Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep…