Adversarial Attacks Leverage Interference Between Features in Superposition
Fuente:
arXiv
Saved in:
| Main Authors: | Stevinson, Edward, Prieto, Lucas, Barsbey, Melih, Birdal, Tolga |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
by: Prieto, Lucas, et al.
Published: (2026)
by: Prieto, Lucas, et al.
Published: (2026)
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
by: Barsbey, Melih, et al.
Published: (2025)
by: Barsbey, Melih, et al.
Published: (2025)
On the Interaction of Compressibility and Adversarial Robustness
by: Barsbey, Melih, et al.
Published: (2025)
by: Barsbey, Melih, et al.
Published: (2025)
Grokking at the Edge of Numerical Stability
by: Prieto, Lucas, et al.
Published: (2025)
by: Prieto, Lucas, et al.
Published: (2025)
Generalization at the Edge of Stability
by: Tuci, Mario, et al.
Published: (2026)
by: Tuci, Mario, et al.
Published: (2026)
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
by: Zaech, Jan-Nico, et al.
Published: (2023)
by: Zaech, Jan-Nico, et al.
Published: (2023)
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
by: Korkmaz, Caner, et al.
Published: (2025)
by: Korkmaz, Caner, et al.
Published: (2025)
Parallelised Differentiable Straightest Geodesics for 3D Meshes
by: Verninas, Hippolyte, et al.
Published: (2026)
by: Verninas, Hippolyte, et al.
Published: (2026)
Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
by: Kindap, Yaman, et al.
Published: (2026)
by: Kindap, Yaman, et al.
Published: (2026)
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning
by: Catal, Melih, et al.
Published: (2024)
by: Catal, Melih, et al.
Published: (2024)
BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
by: Shin, Woojin, et al.
Published: (2024)
by: Shin, Woojin, et al.
Published: (2024)
Fractional Diffusion Bridge Models
by: Nobis, Gabriel, et al.
Published: (2025)
by: Nobis, Gabriel, et al.
Published: (2025)
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
by: Joseph, Sonia, et al.
Published: (2025)
by: Joseph, Sonia, et al.
Published: (2025)
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
by: Zhou, Nuoyan, et al.
Published: (2024)
by: Zhou, Nuoyan, et al.
Published: (2024)
eXIAA: eXplainable Injections for Adversarial Attack
by: Pesce, Leonardo, et al.
Published: (2025)
by: Pesce, Leonardo, et al.
Published: (2025)
Impact of Adversarial Attacks on Deep Learning Model Explainability
by: Nur, Gazi Nazia, et al.
Published: (2024)
by: Nur, Gazi Nazia, et al.
Published: (2024)
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection
by: Mikriukov, Georgii, et al.
Published: (2024)
by: Mikriukov, Georgii, et al.
Published: (2024)
Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
by: Kong, Weizhe, et al.
Published: (2025)
by: Kong, Weizhe, et al.
Published: (2025)
SORA: Free Second-Order Attacks in Fast Adversarial Training
by: Teymourian, Mazdak, et al.
Published: (2026)
by: Teymourian, Mazdak, et al.
Published: (2026)
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks
by: Naderi, Hanieh, et al.
Published: (2022)
by: Naderi, Hanieh, et al.
Published: (2022)
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
by: Foti, Simone, et al.
Published: (2024)
by: Foti, Simone, et al.
Published: (2024)
Hard-label based Small Query Black-box Adversarial Attack
by: Park, Jeonghwan, et al.
Published: (2024)
by: Park, Jeonghwan, et al.
Published: (2024)
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
by: Wang, Feiyang, et al.
Published: (2024)
by: Wang, Feiyang, et al.
Published: (2024)
Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer
by: Hsain, Achraf, et al.
Published: (2026)
by: Hsain, Achraf, et al.
Published: (2026)
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)
by: Huang, Hanxun, et al.
Published: (2025)
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss
by: Yu, Yunrui, et al.
Published: (2025)
by: Yu, Yunrui, et al.
Published: (2025)
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations
by: Kulkarni, Pranav, et al.
Published: (2024)
by: Kulkarni, Pranav, et al.
Published: (2024)
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations
by: Du, Yuan, et al.
Published: (2026)
by: Du, Yuan, et al.
Published: (2026)
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
by: Huang, Yuanhui, et al.
Published: (2024)
by: Huang, Yuanhui, et al.
Published: (2024)
Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024)
by: Ballester, Rubén, et al.
Published: (2024)
Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
by: Nguyen, Duy A., et al.
Published: (2025)
by: Nguyen, Duy A., et al.
Published: (2025)
Toward Reliable and Explainable Nail Disease Classification: Leveraging Adversarial Training and Grad-CAM Visualization
by: Hossain, Farzia, et al.
Published: (2026)
by: Hossain, Farzia, et al.
Published: (2026)
Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles
by: Lao, Dong, et al.
Published: (2025)
by: Lao, Dong, et al.
Published: (2025)
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
by: Feng, Yunzhen, et al.
Published: (2024)
by: Feng, Yunzhen, et al.
Published: (2024)
Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations
by: Bastian, Lennart, et al.
Published: (2025)
by: Bastian, Lennart, et al.
Published: (2025)
GRILL: Restoring Gradient Signal in Ill-Conditioned Layers for More Effective Adversarial Attacks on Autoencoders
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2025)
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2025)
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
Bayesian Conditioned Diffusion Models for Inverse Problems
by: Güngör, Alper, et al.
Published: (2024)
by: Güngör, Alper, et al.
Published: (2024)
Similar Items
-
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
by: Prieto, Lucas, et al.
Published: (2026) -
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
by: Barsbey, Melih, et al.
Published: (2025) -
On the Interaction of Compressibility and Adversarial Robustness
by: Barsbey, Melih, et al.
Published: (2025) -
Grokking at the Edge of Numerical Stability
by: Prieto, Lucas, et al.
Published: (2025) -
Generalization at the Edge of Stability
by: Tuci, Mario, et al.
Published: (2026)