A Vulnerability of Attribution Methods Using Pre-Softmax Scores
Fuente:
arXiv
Saved in:
| Main Authors: | Lerma, Miguel, Lucas, Mirtha |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
by: Han, Chengkai, et al.
Published: (2025)
by: Han, Chengkai, et al.
Published: (2025)
L3AC: Towards a Lightweight and Lossless Audio Codec
by: Zhai, Linwei, et al.
Published: (2025)
by: Zhai, Linwei, et al.
Published: (2025)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax
by: Nauen, Tobias Christian, et al.
Published: (2024)
by: Nauen, Tobias Christian, et al.
Published: (2024)
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid
by: Dash, Smruti P., et al.
Published: (2025)
by: Dash, Smruti P., et al.
Published: (2025)
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
by: Leyli-Abadi, Milad, et al.
Published: (2026)
by: Leyli-Abadi, Milad, et al.
Published: (2026)
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
by: Mondal, Ashok, et al.
Published: (2024)
by: Mondal, Ashok, et al.
Published: (2024)
GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
by: Fanale, Raimondo
Published: (2026)
by: Fanale, Raimondo
Published: (2026)
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
by: Qu, Xiran, et al.
Published: (2023)
by: Qu, Xiran, et al.
Published: (2023)
Alternative positional encoding functions for neural transformers
by: Lopez-Rubio, Ezequiel, et al.
Published: (2025)
by: Lopez-Rubio, Ezequiel, et al.
Published: (2025)
CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)
by: Mukherjee, Debdeep, et al.
Published: (2025)
Communications to Circulations: Real-Time 3D Wind Field Prediction Using 5G GNSS Signals and Deep Learning
by: Ye, Yuchen, et al.
Published: (2025)
by: Ye, Yuchen, et al.
Published: (2025)
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)
by: Harfi, Sepehr, et al.
Published: (2026)
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
by: Filus, Katarzyna, et al.
Published: (2026)
by: Filus, Katarzyna, et al.
Published: (2026)
Queue up for takeoff: a transferable deep learning framework for flight delay prediction
by: Aghanya, Nnamdi Daniel, et al.
Published: (2025)
by: Aghanya, Nnamdi Daniel, et al.
Published: (2025)
Deceptive Diffusion: Generating Synthetic Adversarial Examples
by: Beerens, Lucas, et al.
Published: (2024)
by: Beerens, Lucas, et al.
Published: (2024)
A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)
by: Cossu, Andrea, et al.
Published: (2026)
HGTUL: A Hypergraph-based Model For Trajectory User Linking
by: Chang, Fengjie, et al.
Published: (2025)
by: Chang, Fengjie, et al.
Published: (2025)
Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms
by: Spyra, Przemysław, et al.
Published: (2025)
by: Spyra, Przemysław, et al.
Published: (2025)
How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)
by: Borobia, Hector, et al.
Published: (2026)
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)
by: Henry, James
Published: (2026)
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
Faked Speech Detection with Zero Prior Knowledge
by: Ajmi, Sahar Al, et al.
Published: (2022)
by: Ajmi, Sahar Al, et al.
Published: (2022)
DNNShifter: An Efficient DNN Pruning System for Edge Computing
by: Eccles, Bailey J., et al.
Published: (2023)
by: Eccles, Bailey J., et al.
Published: (2023)
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
by: Książek, Kamil, et al.
Published: (2023)
by: Książek, Kamil, et al.
Published: (2023)
Conditional Temporal Neural Processes with Covariance Loss
by: Yoo, Boseon, et al.
Published: (2025)
by: Yoo, Boseon, et al.
Published: (2025)
Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
by: Wu, Chengcan, et al.
Published: (2025)
by: Wu, Chengcan, et al.
Published: (2025)
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
by: Lee, Kichang, et al.
Published: (2024)
by: Lee, Kichang, et al.
Published: (2024)
Is ReLU Adversarially Robust?
by: Sooksatra, Korn, et al.
Published: (2024)
by: Sooksatra, Korn, et al.
Published: (2024)
Interpretability Can Be Actionable
by: Orgad, Hadas, et al.
Published: (2026)
by: Orgad, Hadas, et al.
Published: (2026)
Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)
by: Di Ventura, Jacopo, et al.
Published: (2025)
Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
by: Liu, XiaYu, et al.
Published: (2025)
by: Liu, XiaYu, et al.
Published: (2025)
Probing for Representation Manifolds in Superposition
by: Modell, Alexander
Published: (2026)
by: Modell, Alexander
Published: (2026)
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
by: Chowdhury, Jawad, et al.
Published: (2024)
by: Chowdhury, Jawad, et al.
Published: (2024)
The Origins of Representation Manifolds in Large Language Models
by: Modell, Alexander, et al.
Published: (2025)
by: Modell, Alexander, et al.
Published: (2025)
Improving Time Series Classification with Representation Soft Label Smoothing
by: Ma, Hengyi, et al.
Published: (2024)
by: Ma, Hengyi, et al.
Published: (2024)
Simple Network Graph Comparative Learning
by: Yu, Qiang, et al.
Published: (2026)
by: Yu, Qiang, et al.
Published: (2026)
Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
Similar Items
-
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
by: Han, Chengkai, et al.
Published: (2025) -
L3AC: Towards a Lightweight and Lossless Audio Codec
by: Zhai, Linwei, et al.
Published: (2025) -
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025) -
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax
by: Nauen, Tobias Christian, et al.
Published: (2024) -
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid
by: Dash, Smruti P., et al.
Published: (2025)