Understand the system.
Question the assumptions.

Block-A-Mole: The Sustainability Frontier of Moving-Target Censorship Resistance

arXiv preprint

Models how rotating proxy addresses and replaceable names jointly constrain censorship-circumvention availability and sustainability.

CLPIPS: A Personalized Metric for AI-Generated Image Similarity

arXiv preprint

Adapts a perceptual image-similarity metric to participant judgments and evaluates its alignment in iterative image-regeneration tasks.

Front-Running the Red Carpet: A Measurement Study of Media Torrent Leaks and User Risks

Journal of Quantitative Description: Digital Media

Connects streaming availability, early torrent release timing, swarm behavior, and the risks posed by suspicious files, using observational measurements.

NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers and IPNS

Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb, co-located with NDSS)

Builds and evaluates a moving-target DNS-over-HTTPS service designed to remain reachable under censorship, including its latency and operating costs.

OverHear: Headphone Based Multi-Sensor Keystroke Inference

International Conference on Applied Cryptography and Network Security (ACNS)

Studies headphone-based multi-sensor keystroke inference.

Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art

EvoMUSART

Tests whether people can infer the hidden prompts behind generated artwork and whether combining human and AI guesses helps reproduce images.

Through the Looking Glassdoor: AI-Generated Employer Portrayals in Open-Weight Language Models

SSRN preprint

Audits how open-weight language models portray employers compared with employee reviews, examining compressed differences, rating biases and agreement between models.

What Should I Become? When LLMs Present a Slice of Opportunity as the Whole

AAAI/ACM Conference on AI, Ethics, and Society (AIES)

Audits which careers language models surface, comparing occupational and educational patterns with labor-market data and socioeconomic profiles.

A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks

International Joint Conference on Artificial Intelligence (IJCAI)

Uses a human study to examine iterative prompt refinement and the agreement between image-similarity measures and human assessments during image regeneration.

EtherBee: A Global Dataset of Ethereum Node Performance Measurements Coupled with Honeypot Interactions and Full Network Sessions

IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

Provides Ethereum node-performance measurements, honeypot interactions and full network-session data.

From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical Research

AAAI/ACM Conference on AI, Ethics, and Society (AIES)

Proposes a framework for assessing research datasets through temporal investment, scale, and accessibility as AI changes the cost of downstream analysis.

Initial Evidence of Pervasive Reconnaissance Targeting Ethereum Node Infrastructure

ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI)

Reports initial evidence of reconnaissance targeting Ethereum node infrastructure.

MagnetDB: A Longitudinal Torrent Discovery Dataset with IMDb-Matched Movies and TV Shows

International AAAI Conference on Web and Social Media (ICWSM)

Provides longitudinal BitTorrent discovery data matched to film and television metadata, enabling study of content distribution and online piracy ecosystems.

ScooterLab: A Programmable and Participatory Sensing Research Testbed Using Micromobility Vehicles

IEEE International Conference on Pervasive Computing and Communications (PerCom) Demos

Demonstrates a programmable participatory sensing research testbed using micromobility vehicles.

Spiking Neural Networks in Vertical Federated Learning: Performance Trade-Offs

IEEE/IFIP Network Operations and Management Symposium (NOMS)

Examines performance trade-offs of spiking neural networks in vertical federated learning.

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

34th USENIX Security Symposium

Evaluates nonexistent package recommendations in code generated by language models and examines ways to reduce this software supply-chain risk.

Why You've Got Mail: Evaluating Inbox Privacy Implications of Email Marketing Practices in Online Apps and Services

ACM Conference on Data and Application Security and Privacy (CODASPY)

Measures email received after signup to popular services, examining marketing practices, opt-out preferences, and potential signs of third-party data sharing.

De-Anonymizing VR Avatars Using Non-VR Motion Side-Channels

ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)

Investigates de-anonymization of VR avatars using motion side channels from non-VR settings.

Generating Print-Ready Personalized AI Art Products from Minimal User Inputs

arXiv preprint

Explores generating personalized print-ready AI art products from minimal user input.

Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art

arXiv preprint

Reports a human-subject study of prompt inference in AI-generated art.

Towards a Game-Theoretic Understanding of Explanation-Based Membership Inference Attacks

Conference on Decision and Game Theory for Security (GameSec)

Studies explanation-based membership inference attacks using a game-theoretic approach.

SkinSense: Efficient Vibration-Based Communications over Human Body Using Motion Sensors

Elsevier Internet of Things (IoT)

Studies vibration-based communication over the human body using motion sensors.

Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks

arXiv preprint

Explores zero-trust validator deployment using NFTs and smart contracts in proof-of-stake networks.

An Investigative Study on the Privacy Implications of Mobile E-Scooter Rental Apps

ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)

Investigates privacy implications of mobile e-scooter rental applications.

Background Buster: Peeking Through Virtual Backgrounds in Online Video Calls

IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Investigates privacy exposure through virtual backgrounds in online video calls.

Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing

IEEE PerCom Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense)

Studies e-scooter impacts on pedestrian safety using pedestrian crowd-sensing.

Acoustics to the Rescue: Physical Key Inference Attack Revisited

USENIX Security Symposium (SECURITY)

Revisits physical key inference attacks using acoustics.

Write to Know: On the Feasibility of Wrist Motion Based User-Authentication from Handwriting

ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)

Examines the feasibility of wrist-motion-based user authentication from handwriting.

Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks

Network & Distributed System Security Symposium (NDSS)

Investigates keystroke inference attacks exploiting video calls.

Blockchain Game

US Patent Application 16/856,782

Patent application titled Blockchain Game.

Patent application filed April 2020.

Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems

ACM Workshop on Automotive and Aerial Vehicle Security (AutoSec)

Discusses security and privacy challenges in intelligent urban micromobility transportation systems.

Smart Light-Based Information Leakage Attacks

ACM GetMobile: Mobile Computing and Communications

Examines information leakage attacks involving smart lights.

Analyzing Defense Strategies Against Mobile Information Leakages: A Game-Theoretic Approach

Conference on Decision and Game Theory for Security (GameSec)

Analyzes defenses against mobile information leakage using game theory.

deWristified: Handwriting Inference Using Wrist-Based Motion Sensors Revisited

ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)

Revisits handwriting inference using wrist-based motion sensors.

Light Ears: Information Leakage via Smart Lights

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · presented at UbiComp 2019

Studies information leakage through smart lights.

A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains

IEEE Access

Analyzes shard-based permissionless blockchains using game theory.

A Practical Framework for Preventing Distracted Pedestrian-Related Incidents Using Wrist Wearables

IEEE Access

Presents a wrist-wearable framework for preventing distracted pedestrian incidents.

Keystroke Inference Using Ambient Light Sensor on Wrist-Wearables: A Feasibility Study

ACM MobiSys Workshop on Wearable Systems and Applications (WearSys)

Examines the feasibility of keystroke inference using an ambient light sensor on wrist-wearables.

Side-Channel Inference Attacks on Mobile Keypads Using Smartwatches

IEEE Transactions on Mobile Computing

Studies side-channel inference of mobile keypad input using smartwatches.

Towards a Practical Pedestrian Distraction Detection Framework Using Wearables

IEEE PerCom Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense)

Presents a wearable framework for detecting pedestrian distraction.

Towards Inferring Mechanical Lock Combinations Using Wrist-Wearables as a Side-Channel

ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)

Investigates mechanical lock combination inference using wrist-wearables as a side channel.

Information Leakage Through Mobile Motion Sensors: User Awareness and Concerns

European Workshop on Usable Security (EuroUSEC)

Examines user awareness and concerns about information leakage through mobile motion sensors.

Preventing Shoulder Surfing Using Randomized Augmented Reality Keyboards

IEEE PerCom Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT)

Examines randomized augmented reality keyboards for preventing shoulder surfing.

RandomPad: Usability of Randomized Mobile Keypads for Defeating Inference Attacks

IEEE EuroS&P Workshop on Innovations in Mobile Privacy & Security (IMPS)

Studies usability of randomized mobile keypads intended to defeat inference attacks.

Seer Grid: Privacy and Utility Implications of Two-Level Load Prediction in Smart Grids

IEEE Transactions on Parallel and Distributed Systems

Examines privacy and utility implications of two-level load prediction in smart grids.

Smartwatch-Based Keystroke Inference Attacks and Context-Aware Protection Mechanisms

ACM Asia Conference on Computer and Communications Security (AsiaCCS)

Studies smartwatch-based keystroke inference attacks and context-aware protection mechanisms.

(Smart)Watch Your Taps: Side-Channel Keystroke Inference Attacks Using Smartwatches

ACM International Symposium on Wearable Computers (ISWC)

Studies smartwatch-based side-channel keystroke inference attacks.

Social Puzzles: Context-Based Access Control in Online Social Networks

IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Examines context-based access control in online social networks.