1 citations · 1 across the 8 of their papers we have counts for
9 papers
CLPIPS: A Personalized Metric for AI-Generated Image Similarity
Khoi Trinh, Jay Rothenberger, Scott Seidenberger +2
Iterative prompt refinement is central to reproducing target images with text to image generative models. Previous studies have incorporated image similarity metrics (ISMs) as addi…
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…
EtherBee: A Global Dataset of Ethereum Node Performance Measurements Coupled with Honeypot Interactions and Full Network Sessions
Scott Seidenberger, Anindya Maiti
We introduce EtherBee, a global dataset integrating detailed Ethereum node metrics, network traffic metadata, and honeypot interaction logs collected from ten geographically divers…
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…
MagnetDB: A Longitudinal Torrent Discovery Dataset with IMDb-Matched Movies and TV Shows
Scott Seidenberger, Noah Pursell, Anindya Maiti
BitTorrent remains a prominent channel for illicit distribution of copyrighted material, yet the supply side of such content remains understudied. We introduce MagnetDB, a longitud…
Initial Evidence of Elevated Reconnaissance Attacks Against Nodes in P2P Overlay Networks
Scott Seidenberger, Anindya Maiti
We hypothesize that peer-to-peer (P2P) overlay network nodes can be attractive to attackers due to their visibility, sustained uptime, and resource potential. Towards validating th…
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…
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…
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…