Strengthening the Internal Adversarial Robustness in Lifted Neural Networks
Fuente:
arXiv
Saved in:
| Main Author: | Zach, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
by: Campi, Francesco, et al.
Published: (2023)
by: Campi, Francesco, et al.
Published: (2023)
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
by: Djilani, Mohamed, et al.
Published: (2024)
by: Djilani, Mohamed, et al.
Published: (2024)
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows
by: Yang, Yiqian, et al.
Published: (2024)
by: Yang, Yiqian, et al.
Published: (2024)
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
by: Wang, Yanyun, et al.
Published: (2024)
by: Wang, Yanyun, et al.
Published: (2024)
Self-Expanding Neural Networks
by: Mitchell, Rupert, et al.
Published: (2023)
by: Mitchell, Rupert, et al.
Published: (2023)
Discrete Latent Structure in Neural Networks
by: Niculae, Vlad, et al.
Published: (2023)
by: Niculae, Vlad, et al.
Published: (2023)
Implicit Regularization and Generalization in Overparameterized Neural Networks
by: Johannsen, Zeran
Published: (2026)
by: Johannsen, Zeran
Published: (2026)
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks
by: Kee, Patrick D., et al.
Published: (2024)
by: Kee, Patrick D., et al.
Published: (2024)
Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics
by: Yu, Zehua, et al.
Published: (2024)
by: Yu, Zehua, et al.
Published: (2024)
Learning Useful Representations of Recurrent Neural Network Weight Matrices
by: Herrmann, Vincent, et al.
Published: (2024)
by: Herrmann, Vincent, et al.
Published: (2024)
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
by: Pirillo, Alberto, et al.
Published: (2025)
by: Pirillo, Alberto, et al.
Published: (2025)
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
by: Palma, Guilherme, et al.
Published: (2025)
by: Palma, Guilherme, et al.
Published: (2025)
Graph Neural Network Based Action Ranking for Planning
by: Mangannavar, Rajesh, et al.
Published: (2024)
by: Mangannavar, Rajesh, et al.
Published: (2024)
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
by: Alabdallah, Abdallah, et al.
Published: (2024)
by: Alabdallah, Abdallah, et al.
Published: (2024)
Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
by: Gaonkar, Aradhya, et al.
Published: (2026)
by: Gaonkar, Aradhya, et al.
Published: (2026)
Scaling Laws for Neural Material Models
by: Trikha, Akshay, et al.
Published: (2025)
by: Trikha, Akshay, et al.
Published: (2025)
Convergence of Distributionally Robust Q-Learning with Linear Function Approximation
by: Mandal, Saptarshi, et al.
Published: (2025)
by: Mandal, Saptarshi, et al.
Published: (2025)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
by: Fraser, Sandy, et al.
Published: (2025)
by: Fraser, Sandy, et al.
Published: (2025)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
by: Garcia, Kevin, et al.
Published: (2025)
by: Garcia, Kevin, et al.
Published: (2025)
Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
by: Cardoso, Lucas, et al.
Published: (2025)
by: Cardoso, Lucas, et al.
Published: (2025)
Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
by: Karabulut, Burak, et al.
Published: (2026)
by: Karabulut, Burak, et al.
Published: (2026)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)
by: Belucci, Bruno, et al.
Published: (2025)
Implicit Counterfactual Data Augmentation for Robust Learning
by: Zhou, Xiaoling, et al.
Published: (2023)
by: Zhou, Xiaoling, et al.
Published: (2023)
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
by: Poonia, Harsh, et al.
Published: (2025)
by: Poonia, Harsh, et al.
Published: (2025)
How Many Ratings per Item are Necessary for Reliable Significance Testing?
by: Homan, Christopher, et al.
Published: (2024)
by: Homan, Christopher, et al.
Published: (2024)
Faster Predictive Coding Networks via Better Initialization
by: Pinchetti, Luca, et al.
Published: (2026)
by: Pinchetti, Luca, et al.
Published: (2026)
Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
by: Avery, Katherine, et al.
Published: (2025)
by: Avery, Katherine, et al.
Published: (2025)
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
by: Gorrim, Mohamed El
Published: (2025)
by: Gorrim, Mohamed El
Published: (2025)
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
by: Cullen, Andrew C., et al.
Published: (2023)
by: Cullen, Andrew C., et al.
Published: (2023)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
by: Leyli-abadi, Milad, et al.
Published: (2025)
by: Leyli-abadi, Milad, et al.
Published: (2025)
MotherNet: Fast Training and Inference via Hyper-Network Transformers
by: Müller, Andreas, et al.
Published: (2023)
by: Müller, Andreas, et al.
Published: (2023)
Is ReLU Adversarially Robust?
by: Sooksatra, Korn, et al.
Published: (2024)
by: Sooksatra, Korn, et al.
Published: (2024)
Generalization Study of Quantum Neural Network
by: Jiang, JinZhe, et al.
Published: (2020)
by: Jiang, JinZhe, et al.
Published: (2020)
Causality-Driven Neural Network Repair: Challenges and Opportunities
by: Vares, Fatemeh, et al.
Published: (2025)
by: Vares, Fatemeh, et al.
Published: (2025)
Why LoRA Resists Label Noise: A Theoretical Framework for Noise-Robust Parameter-Efficient Fine-Tuning
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
Similar Items
-
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
by: Campi, Francesco, et al.
Published: (2023) -
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
by: Djilani, Mohamed, et al.
Published: (2024) -
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows
by: Yang, Yiqian, et al.
Published: (2024) -
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
by: Wang, Yanyun, et al.
Published: (2024) -
Self-Expanding Neural Networks
by: Mitchell, Rupert, et al.
Published: (2023)