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5 papers

q-fin.GN2026

ZAPs: A Reward Attribution Framework for DeFi Ecosystems with Adversarial-Robust Scoring via Parallel Anomaly Ensemble Detection

Girish G N, Ashutosh Sahoo, Ajay Bhat +4

The paper proposes ZAPs, a framework for assigning rewards in DeFi that combines economic contribution scoring with a multi‑layer defense against bots and sybil attacks using anoma…

cs.LO2026

Formal Reasoning About Confidence and Automated Verification of Neural Networks

Mohammad Afzal, S. Akshay, Blaise Genest +1

In the last decade, a large body of work has emerged on robustness of neural networks, i.e., checking if the decision remains unchanged when the input is slightly perturbed. Howeve…

cs.LG2026

Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles

Namrita Varshney, Ashutosh Gupta, Arhaan Ahmad +2

Decision tree ensembles are widely used in critical domains, making robustness and sensitivity analysis essential to their trustworthiness. We study the feature sensitivity problem…

q-fin.GN2025

Deep Reputation Scoring in DeFi: zScore-Based Wallet Ranking from Liquidity and Trading Signals

Dhanashekar Kandaswamy, Ashutosh Sahoo, Akshay SP +3

As decentralized finance (DeFi) evolves, distinguishing between user behaviors - liquidity provision versus active trading - has become vital for risk modeling and on-chain reputat…

cs.FL2025

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version)

Yun Chen Tsai, Kittiphon Phalakarn, S. Akshay +1

Markov decision processes (MDPs) are a popular model for decision-making in the presence of uncertainty. The conventional view of MDPs in verification treats them as state transfor…