projected gradient descent

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks CVPR 2026 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks ACML 2025 Diffusion State-Guided Projected Gradient for Inverse Problems ICLR 2025 Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025 Explaining the role of Intrinsic Dimensionality in Adversarial Training ICML 2025 Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models ICML 2025 Mean-field analysis of polynomial-width two-layer neural network beyond finite time horizon COLT 2025 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack AAAI 2025 Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025 Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent CVPR 2025 WebInject: Prompt Injection Attack to Web Agents EMNLP 2025 Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches Interspeech 2024 Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024 Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation ACL 2024 Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model ICML 2024 CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks ICML 2024 Exploiting LLM Quantization NeurIPS 2024 Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits ICML 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity ICML 2024