SDM: A Powerful Tool for Evaluating Model Robustness
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Xinlei, Hu, Tao, Xie, Jichao, Yi, Peng, Ma, Hailong, Li, Baolin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
by: Liu, Xinlei, et al.
Published: (2025)
by: Liu, Xinlei, et al.
Published: (2025)
Unified Continuous Generative Models
by: Sun, Peng, et al.
Published: (2025)
by: Sun, Peng, et al.
Published: (2025)
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
by: Yu, Xinlei, et al.
Published: (2025)
by: Yu, Xinlei, et al.
Published: (2025)
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
by: Ji, Mengfei, et al.
Published: (2024)
by: Ji, Mengfei, et al.
Published: (2024)
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
by: Ma, Ziqing, et al.
Published: (2024)
by: Ma, Ziqing, et al.
Published: (2024)
Harmonic Machine Learning Models are Robust
by: Kersting, Nicholas S., et al.
Published: (2024)
by: Kersting, Nicholas S., et al.
Published: (2024)
Robustness Evaluation for Video Models with Reinforcement Learning
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Towards Evaluating Robustness of Prompt Adherence in Text to Image Models
by: Vemishetty, Sujith, et al.
Published: (2025)
by: Vemishetty, Sujith, et al.
Published: (2025)
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024)
by: Xie, Yong, et al.
Published: (2024)
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)
by: Hu, Zixuan, et al.
Published: (2023)
Fréchet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids
by: Cai, Yuting, et al.
Published: (2025)
by: Cai, Yuting, et al.
Published: (2025)
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
by: Li, Shengming, et al.
Published: (2023)
by: Li, Shengming, et al.
Published: (2023)
Semi-supervised Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
CMOOD: Concept-based Multi-label OOD Detection
by: Liu, Zhendong, et al.
Published: (2024)
by: Liu, Zhendong, et al.
Published: (2024)
Evaluating Data Influence in Meta Learning
by: Ren, Chenyang, et al.
Published: (2025)
by: Ren, Chenyang, et al.
Published: (2025)
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2025)
by: Chen, Pengtao, et al.
Published: (2025)
Rethinking Robustness: A New Approach to Evaluating Feature Attribution Methods
by: Kiourti, Panagiota, et al.
Published: (2025)
by: Kiourti, Panagiota, et al.
Published: (2025)
Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
by: Ren, Tao, et al.
Published: (2025)
by: Ren, Tao, et al.
Published: (2025)
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
by: Wang, Yixin, et al.
Published: (2026)
by: Wang, Yixin, et al.
Published: (2026)
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
by: Kim, Pum Jun, et al.
Published: (2023)
by: Kim, Pum Jun, et al.
Published: (2023)
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
by: Hu, Zixuan, et al.
Published: (2024)
by: Hu, Zixuan, et al.
Published: (2024)
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
by: Miyai, Atsuyuki, et al.
Published: (2024)
by: Miyai, Atsuyuki, et al.
Published: (2024)
STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
by: Zhou, Nan, et al.
Published: (2025)
by: Zhou, Nan, et al.
Published: (2025)
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
by: Rao, Zhefan, et al.
Published: (2024)
by: Rao, Zhefan, et al.
Published: (2024)
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
by: Hu, Zixuan, et al.
Published: (2025)
by: Hu, Zixuan, et al.
Published: (2025)
Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection
by: Schlager, Elke, et al.
Published: (2023)
by: Schlager, Elke, et al.
Published: (2023)
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
by: Li, Tang, et al.
Published: (2024)
by: Li, Tang, et al.
Published: (2024)
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
by: Li, Tang, et al.
Published: (2024)
by: Li, Tang, et al.
Published: (2024)
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
by: Hu, Chen, et al.
Published: (2024)
by: Hu, Chen, et al.
Published: (2024)
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
by: Li, DaiXun, et al.
Published: (2023)
by: Li, DaiXun, et al.
Published: (2023)
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
by: Feng, Chen, et al.
Published: (2026)
by: Feng, Chen, et al.
Published: (2026)
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
by: Mikriukov, Georgii, et al.
Published: (2023)
by: Mikriukov, Georgii, et al.
Published: (2023)
Rethinking the Evaluation Protocol of Domain Generalization
by: Yu, Han, et al.
Published: (2023)
by: Yu, Han, et al.
Published: (2023)
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
by: Gong, Han, et al.
Published: (2026)
by: Gong, Han, et al.
Published: (2026)
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
by: Wadhawan, Rohan, et al.
Published: (2024)
by: Wadhawan, Rohan, et al.
Published: (2024)
A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)
by: Meyers, Charles, et al.
Published: (2024)
by: Meyers, Charles, et al.
Published: (2024)
WALT: Web Agents that Learn Tools
by: Prabhu, Viraj, et al.
Published: (2025)
by: Prabhu, Viraj, et al.
Published: (2025)
Similar Items
-
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
by: Liu, Xinlei, et al.
Published: (2025) -
Unified Continuous Generative Models
by: Sun, Peng, et al.
Published: (2025) -
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
by: Yu, Xinlei, et al.
Published: (2025) -
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025) -
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
by: Ji, Mengfei, et al.
Published: (2024)