6 citations · 20 across the 22 of their papers we have counts for
25 papers
Block-A-Mole: The Sustainability Frontier of Moving-Target Censorship Resistance
Anindya Maiti
Internet censorship affects over four billion people, and deployed circumvention systems share a common weakness: their endpoints are fixed and discoverable, so a patient censor ca…
Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Khoi Trinh, Scott Seidenberger, Joseph Spracklen +4
The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts to generate unique artworks. These marketp…
A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks
Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama +2
With AI-generated content becoming ubiquitous across the web, social media, and other digital platforms, it is vital to examine how such content are inspired and generated. The cre…
ScooterLab: A Programmable and Participatory Sensing Research Testbed using Micromobility Vehicles
Ubaidullah Khan, Raveen Wijewickrama, Buddhi Ashan M. K. +10
Micromobility vehicles, such as e-scooters, are increasingly popular in urban communities but present significant challenges in terms of road safety, user privacy, infrastructure p…
NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers and IPNS
Scott Seidenberger, Marc Beret, Raveen Wijewickrama +2
We introduce NinjaDoH, a novel DNS over HTTPS (DoH) protocol that leverages the InterPlanetary Name System (IPNS), along with public cloud infrastructure, to create a censorship-re…
Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art
Khoi Trinh, Joseph Spracklen, Raveen Wijewickrama +3
The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts for generating unique artworks. These mark…
Why You've Got Mail: Evaluating Inbox Privacy Implications of Email Marketing Practices in Online Apps and Services
Scott Seidenberger, Oluwasijibomi Ajisegiri, Noah Pursell +2
This study explores the widespread perception that personal data, such as email addresses, may be shared or sold without informed user consent, investigating whether these concerns…
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs
Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala
Federated machine learning enables model training across multiple clients while maintaining data privacy. Vertical Federated Learning (VFL) specifically deals with instances where…
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
Joseph Spracklen, Raveen Wijewickrama, A H M Nazmus Sakib +3
The reliance of popular programming languages such as Python and JavaScript on centralized package repositories and open-source software, combined with the emergence of code-genera…
Generating Print-Ready Personalized AI Art Products from Minimal User Inputs
Noah Pursell, Anindya Maiti
We present a novel framework to advance generative artificial intelligence (AI) applications in the realm of printed art products, specifically addressing large-format products tha…
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks
Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha +1
Model explanations improve the transparency of black-box machine learning (ML) models and their decisions; however, they can also be exploited to carry out privacy threats such as…
OverHear: Headphone based Multi-sensor Keystroke Inference
Raveen Wijewickrama, Maryam Abbasihafshejani, Anindya Maiti +1
Headphones, traditionally limited to audio playback, have evolved to integrate sensors like high-definition microphones and accelerometers. While these advancements enhance user ex…
Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks
Scott Seidenberger, Alec Sokol, Anindya Maiti
We present a novel method for a multi-party, zero-trust validator infrastructure deployment arrangement via smart contracts to secure Proof-of-Stake (PoS) blockchains. The proposed…
SkinSense: Efficient Vibration-based Communications Over Human Body Using Motion Sensors
Raveen Wijewickrama, Sameer Anis Dohadwalla, Anindya Maiti +2
Recent growth in popularity of mobile and wearable devices has re-ignited the need for reliable and stealthy communication side-channels to enable applications such as secret/PIN s…
Exploiting Out-of-band Motion Sensor Data to De-anonymize Virtual Reality Users
Mohd Sabra, Nisha Vinayaga Sureshkanth, Ari Sharma +2
Virtual Reality (VR) is an exciting new consumer technology which offers an immersive audio-visual experience to users through which they can navigate and interact with a digitally…
Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks
Mohd Sabra, Anindya Maiti, Murtuza Jadliwala
Due to recent world events, video calls have become the new norm for both personal and professional remote communication. However, if a participant in a video call is not careful,…
Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems
Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama, Anindya Maiti +1
Micromobility vehicles are gaining popularity due to their portable nature, and their ability to serve short distance urban commutes better than traditional modes of transportation…
Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing
Anindya Maiti, Nisha Vinayaga-Sureshkanth, Murtuza Jadliwala +2
The popularity and proliferation of electric scooters (e-scooters) as a micromobility solution in our cities and urban communities has been rapidly rising. Rent-by-the-minute prici…
Analyzing Defense Strategies Against Mobile Information Leakages: A Game-Theoretic Approach
Kavita Kumari, Murtuza Jadliwala, Anindya Maiti +1
Abuse of zero-permission sensors on-board mobile and wearable devices to infer users' personal context and information is a well-known privacy threat that has received significant…
A Practical Framework for Preventing Distracted Pedestrian-related Incidents using Wrist Wearables
Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala +3
Distracted pedestrians, like distracted drivers, are an increasingly dangerous threat and precursors to pedestrian accidents in urban communities, often resulting in grave injuries…
A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains
Mohammad Hossein Manshaei, Murtuza Jadliwala, Anindya Maiti +1
Low transaction throughput and poor scalability are significant issues in public blockchain consensus protocols such as Bitcoins. Recent research efforts in this direction have pro…
Light Ears: Information Leakage via Smart Lights
Anindya Maiti, Murtuza Jadliwala
Modern Internet-enabled smart lights promise energy efficiency and many additional capabilities over traditional lamps. However, these connected lights create a new attack surface,…
Towards a Practical Pedestrian Distraction Detection Framework using Wearables
Nisha Vinayaga-Sureshkanth, Anindya Maiti, Murtuza Jadliwala +3
Pedestrian safety continues to be a significant concern in urban communities and pedestrian distraction is emerging as one of the main causes of grave and fatal accidents involving…
Side-Channel Inference Attacks on Mobile Keypads using Smartwatches
Anindya Maiti, Murtuza Jadliwala, Jibo He +1
Smartwatches enable many novel applications and are fast gaining popularity. However, the presence of a diverse set of on-board sensors provides an additional attack surface to mal…