Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Valentim, Inês, Antunes, Nuno, Lourenço, Nuno |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
par: Valentim, Inês, et autres
Publié: (2026)
par: Valentim, Inês, et autres
Publié: (2026)
Towards Physical Plausibility in Neuroevolution Systems
par: Cortês, Gabriel, et autres
Publié: (2024)
par: Cortês, Gabriel, et autres
Publié: (2024)
Adversarially Robust Spiking Neural Networks Through Conversion
par: Özdenizci, Ozan, et autres
Publié: (2023)
par: Özdenizci, Ozan, et autres
Publié: (2023)
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
par: Cortês, Gabriel, et autres
Publié: (2024)
par: Cortês, Gabriel, et autres
Publié: (2024)
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
par: Bossens, David M.
Publié: (2023)
par: Bossens, David M.
Publié: (2023)
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances
par: Hart, Emma, et autres
Publié: (2024)
par: Hart, Emma, et autres
Publié: (2024)
Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense
par: Wang, Ren, et autres
Publié: (2023)
par: Wang, Ren, et autres
Publié: (2023)
Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power
par: Chen, Yuzhu, et autres
Publié: (2025)
par: Chen, Yuzhu, et autres
Publié: (2025)
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures
par: T, Akash Guna R., et autres
Publié: (2024)
par: T, Akash Guna R., et autres
Publié: (2024)
Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies
par: Li, Haiyang, et autres
Publié: (2025)
par: Li, Haiyang, et autres
Publié: (2025)
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
par: Nguyen, Manh V., et autres
Publié: (2024)
par: Nguyen, Manh V., et autres
Publié: (2024)
Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
par: Chaudhary, Siddharth
Publié: (2025)
par: Chaudhary, Siddharth
Publié: (2025)
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation
par: Azizi, Seyedarmin, et autres
Publié: (2023)
par: Azizi, Seyedarmin, et autres
Publié: (2023)
The Alpha-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance
par: Rezaei, Mohammad Reza, et autres
Publié: (2025)
par: Rezaei, Mohammad Reza, et autres
Publié: (2025)
Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
par: Cenikj, Gjorgjina, et autres
Publié: (2025)
par: Cenikj, Gjorgjina, et autres
Publié: (2025)
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
par: Ramesh, Pranav, et autres
Publié: (2025)
par: Ramesh, Pranav, et autres
Publié: (2025)
Looking Through Glass Box
par: Kafantaris, Alexis
Publié: (2026)
par: Kafantaris, Alexis
Publié: (2026)
Understanding Textual Emotion Through Emoji Prediction
par: Gordon, Ethan, et autres
Publié: (2025)
par: Gordon, Ethan, et autres
Publié: (2025)
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
par: Delavari, Elahe, et autres
Publié: (2025)
par: Delavari, Elahe, et autres
Publié: (2025)
Exploring Biologically Inspired Mechanisms of Adversarial Robustness
par: Holzhausen, Konstantin, et autres
Publié: (2024)
par: Holzhausen, Konstantin, et autres
Publié: (2024)
Interlocking-free Selective Rationalization Through Genetic-based Learning
par: Ruggeri, Federico, et autres
Publié: (2024)
par: Ruggeri, Federico, et autres
Publié: (2024)
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
par: Liu, Ao, et autres
Publié: (2023)
par: Liu, Ao, et autres
Publié: (2023)
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
par: Guo, Ping, et autres
Publié: (2024)
par: Guo, Ping, et autres
Publié: (2024)
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods
par: Lin, Wei, et autres
Publié: (2024)
par: Lin, Wei, et autres
Publié: (2024)
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
par: Zuo, Lin, et autres
Publié: (2024)
par: Zuo, Lin, et autres
Publié: (2024)
Reconsidering the energy efficiency of spiking neural networks
par: Yan, Zhanglu, et autres
Publié: (2024)
par: Yan, Zhanglu, et autres
Publié: (2024)
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling
par: Pienaar, Johannes J., et autres
Publié: (2024)
par: Pienaar, Johannes J., et autres
Publié: (2024)
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
par: Vinhas, Adriano, et autres
Publié: (2024)
par: Vinhas, Adriano, et autres
Publié: (2024)
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
par: Yun, Daniel
Publié: (2024)
par: Yun, Daniel
Publié: (2024)
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
par: Knigge, David M., et autres
Publié: (2024)
par: Knigge, David M., et autres
Publié: (2024)
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
par: Csordás, Róbert, et autres
Publié: (2024)
par: Csordás, Róbert, et autres
Publié: (2024)
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
par: Bidgoli, Azam Asilian, et autres
Publié: (2024)
par: Bidgoli, Azam Asilian, et autres
Publié: (2024)
Enhancing Neural Network Representations with Prior Knowledge-Based Normalization
par: Faye, Bilal, et autres
Publié: (2024)
par: Faye, Bilal, et autres
Publié: (2024)
BayesNAM: Leveraging Inconsistency for Reliable Explanations
par: Kim, Hoki, et autres
Publié: (2024)
par: Kim, Hoki, et autres
Publié: (2024)
Learning Sequence Attractors in Recurrent Networks with Hidden Neurons
par: Lu, Yao, et autres
Publié: (2024)
par: Lu, Yao, et autres
Publié: (2024)
Restricted Bayesian Neural Network
par: Ganguly, Sourav, et autres
Publié: (2024)
par: Ganguly, Sourav, et autres
Publié: (2024)
Task and Explanation Network
par: Sipper, Moshe
Publié: (2024)
par: Sipper, Moshe
Publié: (2024)
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
par: Altmann, Philipp, et autres
Publié: (2024)
par: Altmann, Philipp, et autres
Publié: (2024)
Half-Space Feature Learning in Neural Networks
par: Yadav, Mahesh Lorik, et autres
Publié: (2024)
par: Yadav, Mahesh Lorik, et autres
Publié: (2024)
Towards a theory of model distillation
par: Boix-Adsera, Enric
Publié: (2024)
par: Boix-Adsera, Enric
Publié: (2024)
Documents similaires
-
NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
par: Valentim, Inês, et autres
Publié: (2026) -
Towards Physical Plausibility in Neuroevolution Systems
par: Cortês, Gabriel, et autres
Publié: (2024) -
Adversarially Robust Spiking Neural Networks Through Conversion
par: Özdenizci, Ozan, et autres
Publié: (2023) -
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
par: Cortês, Gabriel, et autres
Publié: (2024) -
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
par: Bossens, David M.
Publié: (2023)