Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Fuente:
arXiv
Saved in:
| Main Authors: | Ehrenberg, Maayan, Ganz, Roy, Rosenfeld, Nir |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-Shot Strategic Classification Under Unknown Costs
by: Rosenfeld, Elan, et al.
Published: (2023)
by: Rosenfeld, Elan, et al.
Published: (2023)
A Market for Accuracy: Classification under Competition
by: Einav, Ohad, et al.
Published: (2025)
by: Einav, Ohad, et al.
Published: (2025)
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)
by: Liu, Junyan, et al.
Published: (2025)
Evolutionary Prediction Games
by: Saig, Eden, et al.
Published: (2025)
by: Saig, Eden, et al.
Published: (2025)
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)
by: Esmaeili, Seyed A., et al.
Published: (2023)
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
by: Nahum, Omer, et al.
Published: (2023)
by: Nahum, Omer, et al.
Published: (2023)
Learning to Lead: Incentivizing Strategic Agents in the Dark
by: Wu, Yuchen, et al.
Published: (2025)
by: Wu, Yuchen, et al.
Published: (2025)
Strategic Incentivization for Locally Differentially Private Federated Learning
by: Pagoti, Yashwant Krishna, et al.
Published: (2025)
by: Pagoti, Yashwant Krishna, et al.
Published: (2025)
Leaderboard Incentives: Model Rankings under Strategic Post-Training
by: Chen, Yatong, et al.
Published: (2026)
by: Chen, Yatong, et al.
Published: (2026)
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
by: Tang, Xiaohang, et al.
Published: (2025)
by: Tang, Xiaohang, et al.
Published: (2025)
Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees
by: Chen, Ziqin, et al.
Published: (2026)
by: Chen, Ziqin, et al.
Published: (2026)
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
by: Efthymiou, Valia, et al.
Published: (2025)
by: Efthymiou, Valia, et al.
Published: (2025)
Is Online Linear Optimization Sufficient for Strategic Robustness?
by: Cai, Yang, et al.
Published: (2026)
by: Cai, Yang, et al.
Published: (2026)
Profit Maximization in Bilateral Trade against a Smooth Adversary
by: Di Gregorio, Simone, et al.
Published: (2026)
by: Di Gregorio, Simone, et al.
Published: (2026)
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
by: Schiffer, Benjamin, et al.
Published: (2025)
by: Schiffer, Benjamin, et al.
Published: (2025)
Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
by: Kumar, Rachitesh, et al.
Published: (2024)
by: Kumar, Rachitesh, et al.
Published: (2024)
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
by: Doshi, Drashthi, et al.
Published: (2025)
by: Doshi, Drashthi, et al.
Published: (2025)
Incentivized Collaboration in Active Learning
by: Cohen, Lee, et al.
Published: (2023)
by: Cohen, Lee, et al.
Published: (2023)
Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays
by: Hu, Ting, et al.
Published: (2026)
by: Hu, Ting, et al.
Published: (2026)
Incentivized Truthful Communication for Federated Bandits
by: Wei, Zhepei, et al.
Published: (2024)
by: Wei, Zhepei, et al.
Published: (2024)
Prior-Agnostic Incentive-Compatible Exploration
by: Ramalingam, Ramya, et al.
Published: (2026)
by: Ramalingam, Ramya, et al.
Published: (2026)
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
by: Han, Yanjun, et al.
Published: (2020)
by: Han, Yanjun, et al.
Published: (2020)
Incentive-compatible Bandits: Importance Weighting No More
by: Zimmert, Julian, et al.
Published: (2024)
by: Zimmert, Julian, et al.
Published: (2024)
Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)
by: Scheid, Antoine, et al.
Published: (2024)
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
by: Chakarov, Dimitar, et al.
Published: (2024)
by: Chakarov, Dimitar, et al.
Published: (2024)
Incentivizing Time-Aware Fairness in Data Sharing
by: Chen, Jiangwei, et al.
Published: (2025)
by: Chen, Jiangwei, et al.
Published: (2025)
Deep Incentive Design with Differentiable Equilibrium Blocks
by: Thoma, Vinzenz, et al.
Published: (2026)
by: Thoma, Vinzenz, et al.
Published: (2026)
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
by: Sellke, Mark
Published: (2023)
by: Sellke, Mark
Published: (2023)
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
by: Dorner, Florian E., et al.
Published: (2023)
by: Dorner, Florian E., et al.
Published: (2023)
Incentivizing High-Quality Human Annotations with Golden Questions
by: Liu, Shang, et al.
Published: (2025)
by: Liu, Shang, et al.
Published: (2025)
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
by: Ahmadi, Saba, et al.
Published: (2024)
by: Ahmadi, Saba, et al.
Published: (2024)
Game Theory for Adversarial Attacks and Defenses
by: Sharma, Shorya
Published: (2021)
by: Sharma, Shorya
Published: (2021)
Bayesian Algorithms for Adversarial Online Learning: from Finite to Infinite Action Spaces
by: Terenin, Alexander, et al.
Published: (2025)
by: Terenin, Alexander, et al.
Published: (2025)
A game-theoretic approach for Generative Adversarial Networks
by: Franci, Barbara, et al.
Published: (2020)
by: Franci, Barbara, et al.
Published: (2020)
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
by: Kong, Fang, et al.
Published: (2024)
by: Kong, Fang, et al.
Published: (2024)
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
by: Maiti, Arnab, et al.
Published: (2025)
by: Maiti, Arnab, et al.
Published: (2025)
Bayesian Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, et al.
Published: (2025)
Learnability Gaps of Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
Strategic Linear Contextual Bandits
by: Buening, Thomas Kleine, et al.
Published: (2024)
by: Buening, Thomas Kleine, et al.
Published: (2024)
Similar Items
-
One-Shot Strategic Classification Under Unknown Costs
by: Rosenfeld, Elan, et al.
Published: (2023) -
A Market for Accuracy: Classification under Competition
by: Einav, Ohad, et al.
Published: (2025) -
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025) -
Evolutionary Prediction Games
by: Saig, Eden, et al.
Published: (2025) -
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)