Saved in:
| Main Authors: | Yang, Guangmingmei, Miller, David J., Kesidis, George |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.08129 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CEPA: Consensus Embedded Perturbation for Agnostic Detection and Inversion of Backdoors
by: Yang, Guangmingmei, et al.
Published: (2024)
by: Yang, Guangmingmei, et al.
Published: (2024)
Inverting Trojans in LLMs
by: Li, Zhengxing, et al.
Published: (2025)
by: Li, Zhengxing, et al.
Published: (2025)
A Study of Backdoors in Instruction Fine-tuned Language Models
by: Raghuram, Jayaram, et al.
Published: (2024)
by: Raghuram, Jayaram, et al.
Published: (2024)
GPU Cluster Scheduling for Network-Sensitive Deep Learning
by: Sharma, Aakash, et al.
Published: (2024)
by: Sharma, Aakash, et al.
Published: (2024)
Understanding and Rectifying Safety Perception Distortion in VLMs
by: Zou, Xiaohan, et al.
Published: (2025)
by: Zou, Xiaohan, et al.
Published: (2025)
Deep Network Trainability via Persistent Subspace Orthogonality
by: Massucco, Alex, et al.
Published: (2025)
by: Massucco, Alex, et al.
Published: (2025)
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization
by: Lang, Yicheng, et al.
Published: (2026)
by: Lang, Yicheng, et al.
Published: (2026)
Matched Topological Subspace Detector
by: Liu, Chengen, et al.
Published: (2025)
by: Liu, Chengen, et al.
Published: (2025)
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
by: Zhu, Shijie, et al.
Published: (2025)
by: Zhu, Shijie, et al.
Published: (2025)
Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
by: Wu, Fei, et al.
Published: (2025)
by: Wu, Fei, et al.
Published: (2025)
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection
by: Huang, Zhexiao, et al.
Published: (2025)
by: Huang, Zhexiao, et al.
Published: (2025)
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
by: Zhang, Kaiyuan, et al.
Published: (2025)
by: Zhang, Kaiyuan, et al.
Published: (2025)
Orthogonal Soft Pruning for Efficient Class Unlearning
by: Gong, Qinghui, et al.
Published: (2025)
by: Gong, Qinghui, et al.
Published: (2025)
Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces
by: Choi, Kwanghee, et al.
Published: (2026)
by: Choi, Kwanghee, et al.
Published: (2026)
Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA
by: Rahulamathavan, Yogachandran, et al.
Published: (2026)
by: Rahulamathavan, Yogachandran, et al.
Published: (2026)
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
by: Wang, Xuan, et al.
Published: (2025)
by: Wang, Xuan, et al.
Published: (2025)
Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
by: Sani, Depanshu, et al.
Published: (2025)
by: Sani, Depanshu, et al.
Published: (2025)
SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
by: Wan, Zhiyi, et al.
Published: (2025)
by: Wan, Zhiyi, et al.
Published: (2025)
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
by: Lin, Liang, et al.
Published: (2025)
by: Lin, Liang, et al.
Published: (2025)
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
by: Zhang, Haobo, et al.
Published: (2025)
by: Zhang, Haobo, et al.
Published: (2025)
CBD: A Certified Backdoor Detector Based on Local Dominant Probability
by: Xiang, Zhen, et al.
Published: (2023)
by: Xiang, Zhen, et al.
Published: (2023)
Identifying Intervenable and Interpretable Features via Orthogonality Regularization
by: Miller, Moritz, et al.
Published: (2026)
by: Miller, Moritz, et al.
Published: (2026)
Improved Operator Learning by Orthogonal Attention
by: Xiao, Zipeng, et al.
Published: (2023)
by: Xiao, Zipeng, et al.
Published: (2023)
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
by: Refael, Yehonathan, et al.
Published: (2025)
by: Refael, Yehonathan, et al.
Published: (2025)
Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance
by: Kishanthan, Sukumar, et al.
Published: (2025)
by: Kishanthan, Sukumar, et al.
Published: (2025)
Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
by: Wen, Qing-Yuan, et al.
Published: (2026)
by: Wen, Qing-Yuan, et al.
Published: (2026)
Circumventing Backdoor Space via Weight Symmetry
by: Peng, Jie, et al.
Published: (2025)
by: Peng, Jie, et al.
Published: (2025)
DOME: Improving Signal-to-Noise in Stochastic Gradient Descent via Sharp-Direction Subspace Filtering
by: Nicolas, Julien, et al.
Published: (2025)
by: Nicolas, Julien, et al.
Published: (2025)
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
by: Yang, Hong, et al.
Published: (2026)
by: Yang, Hong, et al.
Published: (2026)
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense
by: Ma, Hua, et al.
Published: (2023)
by: Ma, Hua, et al.
Published: (2023)
Task-Sensitive Concept Drift Detector with Constraint Embedding
by: Castellani, Andrea, et al.
Published: (2021)
by: Castellani, Andrea, et al.
Published: (2021)
Orthogonal Model Merging
by: Yang, Sihan, et al.
Published: (2026)
by: Yang, Sihan, et al.
Published: (2026)
Bayesian Semi-structured Subspace Inference
by: Dold, Daniel, et al.
Published: (2024)
by: Dold, Daniel, et al.
Published: (2024)
Vertical Federated Unlearning via Backdoor Certification
by: Han, Mengde, et al.
Published: (2024)
by: Han, Mengde, et al.
Published: (2024)
Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
by: Yang, Han, et al.
Published: (2025)
by: Yang, Han, et al.
Published: (2025)
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
Spectral Clustering via Orthogonalization-Free Methods
by: Pang, Qiyuan, et al.
Published: (2023)
by: Pang, Qiyuan, et al.
Published: (2023)
Similar Items
-
CEPA: Consensus Embedded Perturbation for Agnostic Detection and Inversion of Backdoors
by: Yang, Guangmingmei, et al.
Published: (2024) -
Inverting Trojans in LLMs
by: Li, Zhengxing, et al.
Published: (2025) -
A Study of Backdoors in Instruction Fine-tuned Language Models
by: Raghuram, Jayaram, et al.
Published: (2024) -
GPU Cluster Scheduling for Network-Sensitive Deep Learning
by: Sharma, Aakash, et al.
Published: (2024) -
Understanding and Rectifying Safety Perception Distortion in VLMs
by: Zou, Xiaohan, et al.
Published: (2025)