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gradient-based optimization

191 papers

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adversarial attack (1599) gradient descent (1143) large language model (12755) few-shot learning (3390) neural network (6616) hyperparameter optimization (405) neural architecture search (665) gradient optimization (57) discrete optimization (145) multi-objective optimization (357)

Papers

Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention COLING 2025
Accelerating Adversarial Training on Under-Utilized GPU IJCAI 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations AAAI 2025
Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion EMNLP 2025
DMesh: A Differentiable Mesh Representation NIPS 2024
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NIPS 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control RSS 2024
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers AISTATS 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models ACL 2024
Gradient Coreset for Federated Learning WACV 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NIPS 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer AAAI 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Gradient-Based Language Model Red Teaming EACL 2024
Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NIPS 2024