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Papers
A Combination of Noise and Bilateral Filters Achieve Supralinear and Scalable Adversarial Robustness in CNNs
CVPR 2026
CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification
IJCAI 2025
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
ICLR 2025
GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
ICML 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
Linear SCM Identification in the Presence of Confounders and Gaussian Noise
ICLR 2025
MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
ICML 2025
Noisy SIGNSGD Is More Differentially Private Than You (Might) Think
ICML 2025
On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach
CVPR 2025
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
AAAI 2025
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
ICCV 2025
The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation
ICCV 2025
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
ICLR 2025
Understanding and Improving Length Generalization in Recurrent Models
ICML 2025
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
ICML 2024
Generative Deduplication For Socia Media Data Selection
EMNLP 2024
Idempotent Generative Network
ICLR 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
AISTATS 2024
Instance-based Max-margin for Practical Few-shot Recognition
CVPR 2024
Minimax Linear Regression under the Quantile Risk
COLT 2024
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
ICLR 2024
Nonparametric Evaluation of Noisy ICA Solutions
NeurIPS 2024
On the Privacy of Selection Mechanisms with Gaussian Noise
AISTATS 2024
Communication-Constrained Bandits under Additive Gaussian Noise
ICML 2023
Contrastive Learning with the Feature Reconstruction Amplifier
AAAI 2023