The paper demonstrates that current transfer-based AML systems fail in complex DeFi environments because economic value migration can be structurally decoupled from explicit token transfers.

The paper introduces MEV non-interference, a formal security notion, to ensure that composing new smart contracts in DeFi does not increase the maximal extractable value, thereby providing a formal fo…

GenDetect introduces a novel framework to rapidly generalize detection rules from single observed DeFi exploits, significantly improving resilience against subsequent, similar 'Imitative Attack Cascad…

The paper introduces extsc{Dao$^2$}, a framework enabling secure, threshold-controlled payments from one Decentralized Autonomous Organization (DAO) to another, supporting both traceable and anonymou…

HFIPay proposes a privacy-preserving, non-custodial system for cross-chain cryptocurrency payments that links human-friendly identifiers to blockchain transactions without exposing recipient balances…

The paper introduces Bastet, a novel, high-quality, expert-labeled dataset designed to overcome limitations in existing resources for detecting complex smart contract vulnerabilities in DeFi.

MEV-ACE introduces a fair ordering protocol that mitigates proposer-controlled MEV by combining authenticated economic identities, auditable commit/open messages, and verifiable delay randomness to en…

UniDetect is a novel LLM-driven method that detects cross-chain cryptocurrency fraud by generating generalized transaction summaries, significantly outperforming existing detection techniques across m…

This paper analyzes the x402 payment protocol, revealing systemic vulnerabilities in state synchronization and signature design that allow attackers to exploit payment systems for resource leakage in…

This paper analyzes the x402 payment protocol, revealing critical synchronization and security flaws that allow attackers to exploit payment systems and force merchants to subsidize compute costs.

The paper demonstrates that large language models (LLMs) exhibit measurable, controllable biases toward specific assets like Bitcoin, identifying an internal feature that can causally shift portfolio…

The paper introduces Bitcoin Smart Accounts (BSA), a novel, trust-minimized protocol enabling native Bitcoin to participate in DeFi while maintaining self-custody of funds.

This paper critically re-evaluates the use of Graph Neural Networks (GNNs) for Bitcoin fraud detection, demonstrating that under strict, leakage-free temporal evaluation, simple feature-only models si…

The paper introduces $I$-$(OT)^2$, a novel base 1-out-of-2 Oblivious Transfer (OT) protocol designed to minimize computation and interaction for resource-constrained IoT devices.

The paper reveals that predictable nonce reuse by Polygon MEV searchers creates a critical vulnerability in ECDSA signatures, allowing passive attackers to recover private keys using linear algebra.

The paper argues that endogenous tokens on public, permissionless ledgers are not money because the underlying ledger structure fails to provide a cash-like privacy primitive, exposing holders to syst…

The paper proposes using Differentially Private (DP) synthetic data, specifically through tabular synthesis and DP-Seeded Agent-Based Modeling (ABM), to resolve the conflict between data utility and p…

zkSBOM introduces a zero-knowledge mechanism for sharing Software Bills of Materials (SBOMs) that allows consumers to check for vulnerabilities without suppliers revealing the full, sensitive contents…

The paper proposes a trustless framework using dual-layer cryptographic commitments to solve the operator-gating problem in blockchain provenance trees, ensuring verifiable user attribution even when…

Obscura is a novel, decentralized privacy protocol for the Algorand blockchain that achieves transaction anonymity using LSAG ring signatures, overcoming the limitations of existing zk-SNARK-based met…