MMODELYST
Literature

Papers

Showing 1–55 of 55 papers matching “Aria”
PaperTopicAuthorsPublishedHF ▲
Multimodal Continuous Reasoning via Asymmetric Mutual Variational LearningVision & multimodalShijie Li +9Jul 1, 202627
Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit DependenceVision & multimodalPrashant C. RajuJun 28, 20264
PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance DetectionVision & multimodalMd. Shakhoyat Rahman Shujon +4Jul 6, 20261
Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph DetectorVision & multimodalJunhao Wei +11May 27, 2026
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM SecurityVision & multimodalXiang Fang +1May 27, 2026
Mahalanobis PatchCore: Covariance-Aware and Streaming-Compatible Industrial Anomaly DetectionVision & multimodalNiccolò Ferrari +2May 26, 2026
Structure over Pixels: Learning Variable-Length Visual ProgramsVision & multimodalPiotr Wyrwiński +2May 26, 2026
How the Optimizer Shapes Learned Solutions in Equivariant Neural NetworksVision & multimodalTeodor-Mihai Stupariu +1May 26, 2026
Federated Learning for Multivariate Time Series Anomaly Detection in Industrial AutomationVision & multimodalKhayyam Nosrati +4May 26, 2026
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation CouplingVision & multimodalPengzhen Chen +5May 26, 2026
CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease PathologiesVision & multimodalGeonwoo Baek +1May 26, 2026
Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal OptimizationVision & multimodalXiang Fang +2May 26, 2026
Variational Inference for Evidential Deep LearningVision & multimodalJiawei Tang +4May 26, 2026
Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning EvaluationVision & multimodalDavid Košťál +1May 25, 2026
Adversarial Orthogonal Disentanglement for LVLM Hallucination MitigationVision & multimodalRuoxi Cheng +8May 25, 2026
Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace AlignmentVision & multimodalHaoyuan Wang +4May 22, 2026
Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time SeriesVision & multimodalYunhua Pei +3May 22, 2026
CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly DetectionVision & multimodalJaehyeop Hong +1May 22, 2026
Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior KnowledgeVision & multimodalMarco Gregnanin +3May 21, 2026
Adversarial Trust Poisoning in Vehicular Collaborative PerceptionVision & multimodalYutong Liu +3May 21, 2026
Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMsVision & multimodalLeitao Yuan +7May 20, 2026
Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy ChangesVision & multimodalMohammed Alshaalan +1May 19, 2026
Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM VerificationVision & multimodalAnanth Sriram +2May 19, 2026
A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime VariabilityVision & multimodalRuitao Liu +6May 18, 2026
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?Vision & multimodalMohamed elShehaby +1May 18, 2026
POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly DetectionVision & multimodalSuofei Zhang +2May 18, 2026
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learningVision & multimodalMiquel Martí i Rabadán +3May 17, 2026
Compositional Adversarial Training for Robust Visual WatermarkingVision & multimodalAnirudh Satheesh +6May 16, 2026
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language ModelsVision & multimodalYe Sun +9May 15, 2026
Continual Learning of Domain-Invariant RepresentationsVision & multimodalPascal Janetzky +2May 15, 2026
WARD: Adversarially Robust Defense of Web Agents Against Prompt InjectionsVision & multimodalTri Cao +10May 14, 2026
Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformersVision & multimodalJakub Grzywaczewski +2May 14, 2026
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural CollapseVision & multimodalDonghwan Kim +1May 14, 2026
Beyond Explained Variance: A Cautionary Tale of PCAVision & multimodalGionni MarchettiMay 13, 2026
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image ClusteringVision & multimodalFeijiang Li +5May 13, 2026
VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information BottleneckVision & multimodalAryan Gondkar +2May 12, 2026
Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen PredictorsVision & multimodalWen-Ting Wang +3May 12, 2026
Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMsVision & multimodalYoussef Zaazou +1May 11, 2026
Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense EquilibriumVision & multimodalQingxin Xiao +4May 11, 2026
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA DetectionVision & multimodalChaeyoung Lee +2May 11, 2026
GAMBIT: A Three-Mode Benchmark for Adversarial Robustness in Multi-Agent LLM CollectivesVision & multimodalAlexandre Le Mercier +2May 9, 2026
Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization ApproachVision & multimodalHira Nasir +4May 9, 2026
PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant AttacksVision & multimodalZhenxin Ai +1May 9, 2026
Multivariate Financial Forecasting using the Chronos Time Series Foundation ModelsVision & multimodalSanjiv R Das +2May 8, 2026
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMsVision & multimodalHao Wang +4May 8, 2026
Can You Break RLVER? Probing Adversarial Robustness of RL-Trained Empathetic AgentsVision & multimodalDeeraj S K +3May 8, 2026
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation VariationVision & multimodalMaximilian Maurer +2May 7, 2026
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion AttacksVision & multimodalGuanmeng Xian +2May 7, 2026
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual GenerationVision & multimodalBowen Zheng +4May 7, 2026
Learngene Search Across Multiple Datasets for Building Variable-Sized ModelsVision & multimodalBoyu Shi +5May 6, 2026
Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networksVision & multimodalZhenan Shao +4May 6, 2026
TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic SegmentationVision & multimodalAlexander Matyasko +3May 5, 2026
Augmented Equivariant Mesh Networks for Anatomical SegmentationVision & multimodalDaniel SaragihMay 4, 2026
ARIS: Autonomous Research via Adversarial Multi-Agent CollaborationVision & multimodalRuofeng Yang +2May 4, 2026
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation RecognitionVision & multimodalKaiyu Yang +2Aug 7, 2019