:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fazlyab, Mahyar, Entesari, Taha, Roy, Aniket, Chellappa, Rama
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2310.00116
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
by: Entesari, Taha, et al.
Published: (2026)

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
by: Entesari, Taha, et al.
Published: (2025)

Compositional Curvature Bounds for Deep Neural Networks
by: Entesari, Taha, et al.
Published: (2024)

Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)

Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)

Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)

Improving Coverage in Combined Prediction Sets with Weighted p-values
by: Wong, Gina, et al.
Published: (2025)

Robust Behavior Cloning Via Global Lipschitz Regularization
by: Wu, Shili, et al.
Published: (2025)

1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
by: Juston, Marius F. R., et al.
Published: (2025)

Improving Robustness In Sparse Autoencoders via Masked Regularization
by: Narayanaswamy, Vivek, et al.
Published: (2026)

Transformer Injectivity & Geometric Robustness - Analytic Margins and Bi-Lipschitz Uniformity of Sequence-Level Hidden States
by: von Strauss, Mikael
Published: (2025)

Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
by: Wong, Gina, et al.
Published: (2024)

Shared LoRA Subspaces for almost Strict Continual Learning
by: Kaushik, Prakhar, et al.
Published: (2026)

The Universal Weight Subspace Hypothesis
by: Kaushik, Prakhar, et al.
Published: (2025)

Certified Adversarial Robustness via Partition-based Randomized Smoothing
by: Goli, Hossein, et al.
Published: (2024)

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
by: Massena, Thomas, et al.
Published: (2025)

Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management
by: Ahmed, Faizan, et al.
Published: (2026)

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
by: Chen, Erh-Chung, et al.
Published: (2024)

Certified Robustness against Sparse Adversarial Perturbations via Data Localization
by: Pal, Ambar, et al.
Published: (2024)

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
by: Gao, Weizhi, et al.
Published: (2024)

Mesh-Gait: A Unified Framework for Gait Recognition Through Multi-Modal Representation Learning from 2D Silhouettes
by: Wang, Zhao-Yang, et al.
Published: (2025)

CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)

Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)

Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
by: Kang, Mintong, et al.
Published: (2024)

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
by: Wang, Zixia, et al.
Published: (2025)

REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)

Selective Learning: Towards Robust Calibration with Dynamic Regularization
by: Han, Zongbo, et al.
Published: (2024)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
by: Abuduweili, Abulikemu, et al.
Published: (2024)

Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
by: Sharifi, Sina, et al.
Published: (2024)

Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity
by: Yun, Vincent-Daniel, et al.
Published: (2025)

Maintaining Plasticity in Continual Learning via Regenerative Regularization
by: Kumar, Saurabh, et al.
Published: (2023)

A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams
by: Wu, An, et al.
Published: (2024)

Actor-Critic Physics-informed Neural Lyapunov Control
by: Wang, Jiarui, et al.
Published: (2024)

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
by: Waseda, Futa, et al.
Published: (2024)

Maximizing Confidence Alone Improves Reasoning
by: Prabhudesai, Mihir, et al.
Published: (2025)

Robust Privacy: Inference-Time Privacy through Certified Robustness
by: Jin, Jiankai, et al.
Published: (2026)

GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
by: Shah, Arya, et al.
Published: (2026)

Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
by: Luo, Róisín, et al.
Published: (2025)

Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)