Decentralized finance (DeFi) represents a novel financial system but faces significant fraud
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …

This paper provides a systematic analysis of the opportunities, challenges, and potential
solutions of harnessing Large Language Models (LLMs) such as GPT-4 to dig out …

In recent years, money laundering crimes on blockchain, especially on Ethereum, have
become increasingly rampant, resulting in substantial losses. The unique features of money …

Recent research demonstrates that the nascent fine-tuning-as-a-service business model
exposes serious safety concerns--fine-tuning over a few harmful data uploaded by the users …

Language models (LMs) have demonstrated superior performance in detecting fraudulent
activities on Blockchains. Nonetheless, the sheer volume of Blockchain data results in …

A fundamental component of computer vision is object detection, and the state-of-the-art
object detection algorithm YOLO (You Only Look Once), which uses regression as its …

Recent studies show that Large Language Models (LLMs) with safety alignment can be jail-
broken by fine-tuning on a dataset mixed with harmful data. First time in the literature, we …

Ethereum Name Service (ENS) domains allow users to map human-readable names (such
as gold. eth) to their cryptocurrency addresses, simplifying cryptocurrency transactions. Like …

Airdrops are a common strategy used by blockchain protocols to attract and grow an initial
user base. Tokens are typically distributed to select users as a" reward" for engaging with …

As Web3 projects leverage airdrops to incentivize participation, airdrop hunters tactically
amass wallet addresses to capitalize on token giveaways. This poses challenges to the …