Image de couverture de livre

Defensive Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Farina, Gabriele, Perdomo, Juan Carlos
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Efficient Black-Box Reduction from Online Learning to Multicalibration, and a New Route to $Φ$-Regret Minimization
par: Farina, Gabriele, et autres
Publié: (2026)

The Stability of Online Algorithms in Performative Prediction
par: Farina, Gabriele, et autres
Publié: (2026)

In Defense of Defensive Forecasting
par: Perdomo, Juan Carlos, et autres
Publié: (2025)

The Relative Value of Prediction in Algorithmic Decision Making
par: Perdomo, Juan Carlos
Publié: (2023)

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning
par: Fan, Zhiyuan, et autres
Publié: (2026)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism
par: Soleymani, Ashkan, et autres
Publié: (2025)

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
par: Soleymani, Ashkan, et autres
Publié: (2025)

UFT: Unifying Supervised and Reinforcement Fine-Tuning
par: Liu, Mingyang, et autres
Publié: (2025)

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
par: Zhang, Brian, et autres
Publié: (2022)

Learning Correlated Reward Models: Statistical Barriers and Opportunities
par: Cherapanamjeri, Yeshwanth, et autres
Publié: (2025)

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
par: Fan, Zhiyuan, et autres
Publié: (2024)

Swap Regret Minimization Through Response-Based Approachability
par: Anagnostides, Ioannis, et autres
Publié: (2026)

Revisiting the Predictability of Performative, Social Events
par: Perdomo, Juan C.
Publié: (2025)

LiteEFG: An Efficient Python Library for Solving Extensive-form Games
par: Liu, Mingyang, et autres
Publié: (2024)

A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
par: Liu, Mingyang, et autres
Publié: (2024)

Graph Defense Diffusion Model
par: He, Xin, et autres
Publié: (2025)

The Value of Prediction in Identifying the Worst-Off
par: Fischer-Abaigar, Unai, et autres
Publié: (2025)

Differentially Private Equilibrium Finding in Polymatrix Games
par: Liu, Mingyang, et autres
Publié: (2025)

Triangular-Reference Schrödinger Bridges for Time Series Generation
par: Bocchi, Gabriele
Publié: (2026)

SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization
par: Yu, Xucheng, et autres
Publié: (2026)

Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
par: Sokota, Samuel, et autres
Publié: (2025)

On the Meta-Design of Allocation Problems
par: Fischer-Abaigar, Unai, et autres
Publié: (2026)

Backdoor Defense through Self-Supervised and Generative Learning
par: Sabolić, Ivan, et autres
Publié: (2024)

Computing Equilibrium beyond Unilateral Deviation
par: Liu, Mingyang, et autres
Publié: (2026)

Obfuscated Activations Bypass LLM Latent-Space Defenses
par: Bailey, Luke, et autres
Publié: (2024)

A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
par: Maiti, Arnab, et autres
Publié: (2025)

On the Universal Near Optimality of Hedge in Combinatorial Settings
par: Fan, Zhiyuan, et autres
Publié: (2025)

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
par: Zhou, Yuhang, et autres
Publié: (2024)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
par: Liu, Xiangyu, et autres
Publié: (2023)

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
par: Niu, Peizhi, et autres
Publié: (2024)

Reevaluating Policy Gradient Methods for Imperfect-Information Games
par: Rudolph, Max, et autres
Publié: (2025)

ACDZero: MCTS Agent for Mastering Automated Cyber Defense
par: Li, Yu, et autres
Publié: (2026)

In Defense of Cosine Similarity: Normalization Eliminates the Gauge Freedom
par: Bouhsine, Taha
Publié: (2026)

Large Scale Transfer Learning for Tabular Data via Language Modeling
par: Gardner, Josh, et autres
Publié: (2024)

Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
par: Blagoev, Nikolay, et autres
Publié: (2025)

Noise Masking Attacks and Defenses for Pretrained Speech Models
par: Jagielski, Matthew, et autres
Publié: (2024)

Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
par: Truong, Vu Tuan, et autres
Publié: (2024)

Reasoning as an Adaptive Defense for Safety
par: Kim, Taeyoun, et autres
Publié: (2025)

Dashed Line Defense: Plug-And-Play Defense Against Adaptive Score-Based Query Attacks
par: Fu, Yanzhang, et autres
Publié: (2026)