Efficient local linearity regularization to overcome catastrophic overfitting
Fuente:
arXiv
Saved in:
| Main Authors: | Rocamora, Elias Abad, Liu, Fanghui, Chrysos, Grigorios G., Olmos, Pablo M., Cevher, Volkan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)
by: Rocamora, Elias Abad, et al.
Published: (2025)
Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024)
by: Rocamora, Elias Abad, et al.
Published: (2024)
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)
by: Li, Zhan, et al.
Published: (2024)
Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025)
by: Candogan, Leyla Naz, et al.
Published: (2025)
Robust NAS under adversarial training: benchmark, theory, and beyond
by: Wu, Yongtao, et al.
Published: (2024)
by: Wu, Yongtao, et al.
Published: (2024)
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
by: Afzal, Arshia, et al.
Published: (2024)
by: Afzal, Arshia, et al.
Published: (2024)
Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
by: Ashiq, Muhammad H., et al.
Published: (2025)
by: Ashiq, Muhammad H., et al.
Published: (2025)
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks
by: Cheng, Yixin, et al.
Published: (2024)
by: Cheng, Yixin, et al.
Published: (2024)
Generalization of Scaled Deep ResNets in the Mean-Field Regime
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
FlowPure: Continuous Normalizing Flows for Adversarial Purification
by: Collaert, Elias, et al.
Published: (2025)
by: Collaert, Elias, et al.
Published: (2025)
Evaluating False Alarm and Missing Attacks in CAN IDS
by: Hossain, Nirab, et al.
Published: (2026)
by: Hossain, Nirab, et al.
Published: (2026)
PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
by: Islam, Nafis Tanveer, et al.
Published: (2023)
by: Islam, Nafis Tanveer, et al.
Published: (2023)
Optimal Zero-Shot Detector for Multi-Armed Attacks
by: Granese, Federica, et al.
Published: (2024)
by: Granese, Federica, et al.
Published: (2024)
Linearizing Models for Efficient yet Robust Private Inference
by: Sarkar, Sreetama, et al.
Published: (2024)
by: Sarkar, Sreetama, et al.
Published: (2024)
Efficient Decoding Methods for Language Models on Encrypted Data
by: Avitan, Matan, et al.
Published: (2025)
by: Avitan, Matan, et al.
Published: (2025)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
by: Yu, Sixing, et al.
Published: (2023)
by: Yu, Sixing, et al.
Published: (2023)
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
by: Zhang, Ke, et al.
Published: (2024)
by: Zhang, Ke, et al.
Published: (2024)
Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack
by: Yue, Murong, et al.
Published: (2025)
by: Yue, Murong, et al.
Published: (2025)
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026)
by: Chen, Wenyu, et al.
Published: (2026)
ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification
by: Roy, Bidhan, et al.
Published: (2025)
by: Roy, Bidhan, et al.
Published: (2025)
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
by: Chowdhury, Moontaha Nishat, et al.
Published: (2025)
by: Chowdhury, Moontaha Nishat, et al.
Published: (2025)
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
by: Elouardi, Saida, et al.
Published: (2025)
by: Elouardi, Saida, et al.
Published: (2025)
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
by: Kim, Hyo Seo, et al.
Published: (2026)
by: Kim, Hyo Seo, et al.
Published: (2026)
C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning
by: Kim, Yeachan, et al.
Published: (2024)
by: Kim, Yeachan, et al.
Published: (2024)
Aggressive Compression Enables LLM Weight Theft
by: Brown, Davis, et al.
Published: (2026)
by: Brown, Davis, et al.
Published: (2026)
NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
by: Thaqi, Leand, et al.
Published: (2024)
by: Thaqi, Leand, et al.
Published: (2024)
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
by: Lin, Huawei, et al.
Published: (2025)
by: Lin, Huawei, et al.
Published: (2025)
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
by: Chen, Xiaolin, et al.
Published: (2021)
by: Chen, Xiaolin, et al.
Published: (2021)
Linear Attention for Efficient Bidirectional Sequence Modeling
by: Afzal, Arshia, et al.
Published: (2025)
by: Afzal, Arshia, et al.
Published: (2025)
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems
by: Somma, Michael
Published: (2025)
by: Somma, Michael
Published: (2025)
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
by: Chen, Shengchao, et al.
Published: (2024)
by: Chen, Shengchao, et al.
Published: (2024)
Exploring Query Efficient Data Generation towards Data-free Model Stealing in Hard Label Setting
by: Pei, Gaozheng, et al.
Published: (2024)
by: Pei, Gaozheng, et al.
Published: (2024)
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
by: Dong, Yingkai, et al.
Published: (2024)
by: Dong, Yingkai, et al.
Published: (2024)
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
Adversarial Attacks on Reinforcement Learning-based Medical Questionnaire Systems: Input-level Perturbation Strategies and Medical Constraint Validation
by: Liu, Peizhuo
Published: (2025)
by: Liu, Peizhuo
Published: (2025)
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
by: Raptis, Spyridon, et al.
Published: (2025)
by: Raptis, Spyridon, et al.
Published: (2025)
Cross-silo Federated Learning with Record-level Personalized Differential Privacy
by: Liu, Junxu, et al.
Published: (2024)
by: Liu, Junxu, et al.
Published: (2024)
A Generative Approach to Surrogate-based Black-box Attacks
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
Similar Items
-
Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025) -
Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024) -
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024) -
Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025) -
Robust NAS under adversarial training: benchmark, theory, and beyond
by: Wu, Yongtao, et al.
Published: (2024)