Information Design Against Gaming and Learning Adversaries

arXiv:2609.31643 · cs.LG, cs.AI, cs.CR, cs.GT · Submitted 2026-09-12 · Read on arXiv

cs.LG, cs.AI, cs.CR, cs.GT

Submitted: 2026-09-12

Updated: 2026-09-12

Code: https://github.com/krimler/market-design2

Terminology

• Abstention — 49× in this paper · explained in 1 episode
• Active Learning — 15× in this paper · explained in 6 episodes
• Query Complexity — 5× in this paper · explained in 2 episodes
• VC Dimension — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Distillation — 3× in this paper · explained in 2 episodes
• Adaptivity — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Ambient Dimension — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Deferral — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Model extraction from counterfactual explanations

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