The Role of Input Dimensionality in the Emergence and Targeted Control of Adversarial Examples

arXiv:2606.26207 · stat.ML, cs.CR, cs.LG · Submitted 2026-06-24 · Read on arXiv

Nasrin Malekzadeh Goradel, Niccolo Pancino, Yaser Gholizade Atani, Benedetta Tondi, Giovanni Bellettini, Mauro Barni

stat.ML, cs.CR, cs.LG

Submitted: 2026-06-24

Code: https://github.com/YaserGholizade/image

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adversarial Examples — 67× in this paper · explained in 2 episodes
• Robustness — 24× in this paper · explained in 6 episodes
• Localization — 19× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Adversarial Robustness — 8× in this paper · explained in 4 episodes
• Error Region — 6× in this paper
• Attack Success Rate — 4× in this paper
• Augmentation — 4× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Corrupted Instance — 2× in this paper
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Attack Success Rate (ASR) — 1× in this paper · explained in 3 episodes
• Class Imbalance — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 10 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multilayer Perceptron (MLP) — 1× in this paper · explained in 2 episodes
• Prediction Change — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Intriguing properties of neural networks
• Adversarial Spheres
• Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
• Towards Deep Learning Models Resistant to Adversarial Attacks

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