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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,786 papers · 148 categories

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6 results for “Deterrence”

Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflictstat.AP

New theory shows alliances neither deter nor provoke aggression.

problem The causal effect of alliances on conflict is unclear due to endogeneity issues.

method Innovative generalized joint regression models to account for endogeneity.

result Alliances neither deter nor provoke aggression.

Alliances Conflict Endogeneity Deterrence Aggression

2019-08-19abs ↗pdf ↗

Wealth or Stealth? The Camouflage Effect in Insider Tradingecon.GN

Insiders camouflage trading to balance wealth and stealth, avoiding legal penalties.

problem Legal penalties and insider trading among liquidity traders.

method Kyle-type model with a diverse spectrum of prosecution schemes.

result Existence and uniqueness of equilibria for large populations, with a stealth index revealing trading scale.

insider trading legal penalties stealth equilibria population size

2025-12-06abs ↗pdf ↗

Imperfect Commitment in Maximal Extractable Value Auctionscs.GT

The paper examines how builders in Ethereum auctions can defect and replicate winning MEV opportunities, affecting searchers' bidding strategies.

problem Commitment problem in Ethereum auctions where builders can defect and replicate winning MEV opportunities.

method Modeling and analysis of searchers' bidding strategies and the resulting equilibrium, using libMEV dataset.

result The equilibrium is piecewise, with the cost of imperfect commitment depending on replicability and competition. There is sharp heterogeneity across MEV types.

Ethereum auctions Maximal Extractable Value (MEV)commitment problem searchers' bidding builder defection

2026-05-21abs ↗pdf ↗

AdvMind: Inferring Adversary Intent of Black-Box Attackscs.LG

AdvMind detects adversary intent in black-box attacks with high accuracy.

problem Detecting adversary intent in black-box adversarial attacks is challenging.

method AdvMind accounts for adversary adaptiveness and synthesizes queries to expose intent.

result AdvMind detects adversary intent with over 75% accuracy after observing less than 3 query batches.

adversarial attacks black-box intent inference detection accuracy neural networks

2020-06-16abs ↗pdf ↗

An Empirical Analysis of Scam Tokens on Ethereum Blockchainq-fin.TR

Study examines revenue from scam tokens on Ethereum, revealing key characteristics and market factors.

problem Revenue from scam tokens on Ethereum blockchain.

method Empirical analysis of Uniswap, examining characteristics and market factors.

result Revenue from scam tokens is influenced by market economic factors and community engagement.

Ethereum blockchain scam tokens Uniswap market economics fraud

2024-02-29abs ↗pdf ↗

WAFFLE: Watermarking in Federated Learningcs.CR

WAFFLE embeds watermarks in federated learning models without access to training data.

problem Model theft in federated learning due to lack of centralized control.

method Retraining step at server after model aggregation, generating backdoor as watermark.

result Efficient embedding of resilient watermark with negligible accuracy loss.

federated learning model theft watermarking backdooring resilient watermark

2020-08-17abs ↗pdf ↗