Saved in:
| Main Authors: | Manca, Cristian, Scano, Christian, Piras, Giorgio, Brau, Fabio, Pintor, Maura, Biggio, Battista |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.03596 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
S2AP: Score-space Sharpness Minimization for Adversarial Pruning
by: Piras, Giorgio, et al.
Published: (2025)
by: Piras, Giorgio, et al.
Published: (2025)
Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
by: Pintore, Marco, et al.
Published: (2025)
by: Pintore, Marco, et al.
Published: (2025)
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024)
by: Piras, Giorgio, et al.
Published: (2024)
Label-efficient Training Updates for Malware Detection over Time
by: Minnei, Luca, et al.
Published: (2026)
by: Minnei, Luca, et al.
Published: (2026)
Latent-space Attacks for Refusal Evasion in Language Models
by: Piras, Giorgio, et al.
Published: (2026)
by: Piras, Giorgio, et al.
Published: (2026)
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)
by: Mura, Raffaele, et al.
Published: (2025)
SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models
by: Piras, Giorgio, et al.
Published: (2025)
by: Piras, Giorgio, et al.
Published: (2025)
Regression-aware Continual Learning for Android Malware Detection
by: Ghiani, Daniele, et al.
Published: (2025)
by: Ghiani, Daniele, et al.
Published: (2025)
Silent Until Sparse: Backdoor Attacks on Semi-Structured Sparsity
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
by: Mura, Raffaele, et al.
Published: (2024)
by: Mura, Raffaele, et al.
Published: (2024)
BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning
by: Rodríguez-Lois, Elena, et al.
Published: (2026)
by: Rodríguez-Lois, Elena, et al.
Published: (2026)
Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking
by: Gupta, Srishti, et al.
Published: (2025)
by: Gupta, Srishti, et al.
Published: (2025)
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
by: Angioni, Daniele, et al.
Published: (2024)
by: Angioni, Daniele, et al.
Published: (2024)
Evaluating the Evaluators: Trust in Adversarial Robustness Tests
by: Cinà, Antonio Emanuele, et al.
Published: (2025)
by: Cinà, Antonio Emanuele, et al.
Published: (2025)
Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning
by: Rossolini, Giulio, et al.
Published: (2025)
by: Rossolini, Giulio, et al.
Published: (2025)
ModSec-Learn: Boosting ModSecurity with Machine Learning
by: Scano, Christian, et al.
Published: (2024)
by: Scano, Christian, et al.
Published: (2024)
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)
by: Gupta, Srishti, et al.
Published: (2025)
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
by: Demontis, Ambra, et al.
Published: (2022)
by: Demontis, Ambra, et al.
Published: (2022)
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)
by: Pintor, Maura, et al.
Published: (2022)
Prototype-Guided Robust Learning against Backdoor Attacks
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering
by: Pintore, Marco, et al.
Published: (2025)
by: Pintore, Marco, et al.
Published: (2025)
ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning
by: Floris, Giuseppe, et al.
Published: (2023)
by: Floris, Giuseppe, et al.
Published: (2023)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
On the Robustness of Adversarial Training Against Uncertainty Attacks
by: Ledda, Emanuele, et al.
Published: (2024)
by: Ledda, Emanuele, et al.
Published: (2024)
$σ$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells
by: Trizna, Dmitrijs, et al.
Published: (2024)
by: Trizna, Dmitrijs, et al.
Published: (2024)
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
by: Gupta, Srishti, et al.
Published: (2024)
by: Gupta, Srishti, et al.
Published: (2024)
Nebula: Self-Attention for Dynamic Malware Analysis
by: Trizna, Dmitrijs, et al.
Published: (2023)
by: Trizna, Dmitrijs, et al.
Published: (2023)
RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
by: Eddoubi, Hicham, et al.
Published: (2025)
by: Eddoubi, Hicham, et al.
Published: (2025)
Energy-Latency Attacks via Sponge Poisoning
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
Evaluation of Audio Language Models for Fairness, Safety, and Security
by: Aloufi, Ranya, et al.
Published: (2026)
by: Aloufi, Ranya, et al.
Published: (2026)
Poisoning ML attack and defenses
by: Battista, Biggio, et al.
Published: (2025)
by: Battista, Biggio, et al.
Published: (2025)
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python
by: Demetrio, Luca, et al.
Published: (2021)
by: Demetrio, Luca, et al.
Published: (2021)
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms
by: Villani, Francesco, et al.
Published: (2024)
by: Villani, Francesco, et al.
Published: (2024)
Machine Learning Security against Data Poisoning: Are We There Yet?
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
A Model Drift Detection and Adaptation Framework for 5G Core Networks
by: Manias, Dimitrios Michael, et al.
Published: (2022)
by: Manias, Dimitrios Michael, et al.
Published: (2022)
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders
by: Venhoff, Constantin, et al.
Published: (2024)
by: Venhoff, Constantin, et al.
Published: (2024)
Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
by: Ponte, Andrea, et al.
Published: (2025)
by: Ponte, Andrea, et al.
Published: (2025)
SAGE: Semantic-Aware Shared Sampling for Efficient Diffusion
by: Zhao, Haoran, et al.
Published: (2025)
by: Zhao, Haoran, et al.
Published: (2025)
Similar Items
-
S2AP: Score-space Sharpness Minimization for Adversarial Pruning
by: Piras, Giorgio, et al.
Published: (2025) -
Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
by: Pintore, Marco, et al.
Published: (2025) -
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024) -
Label-efficient Training Updates for Malware Detection over Time
by: Minnei, Luca, et al.
Published: (2026) -
Latent-space Attacks for Refusal Evasion in Language Models
by: Piras, Giorgio, et al.
Published: (2026)