Papers › ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

2 Jan 2020arXiv:2001.00308archive 2025-07-28

Ying Meng, Jianhai Su, Jason O'Kane, Pooyan Jamshidi

There has been extensive research on developing defense techniques against adversarial attacks; however, they have been mainly designed for specific model families or application domains, therefore, they cannot be easily extended. Based on the design philosophy of ensemble of diverse weak defenses, we propose ATHENA---a flexible and extensible framework for building generic yet effective defenses against adversarial attacks. We have conducted a comprehensive empirical study to evaluate several realizations of ATHENA with four threat models including zero-knowledge, black-box, gray-box, and white-box. We also explain (i) why diversity matters, (ii) the generality of the defense framework, and (iii) the overhead costs incurred by ATHENA.

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get_norm_value softsys4ai/athena/src/attacks/utils.py official repository unverified MIT (permissive) · 545c950219db075e · report
calAccu nybupt/athena/src/clustering/prediction_accuracy_EM_MSV.py community (archive-listed) unverified MIT (permissive) · 9a7c7b4b486fea5a · report
compute_model_accuracy nybupt/athena/src/evaluation/compute_accuracy.py community (archive-listed) unverified MIT (permissive) · 7ca0c9b4af04417b · report
distanceToCenter nybupt/athena/src/clustering/kmeans.py community (archive-listed) unverified MIT (permissive) · 6996cc9e86dd8589 · report
get_adversarial_metric nybupt/athena/src/attacks/whitebox.py community (archive-listed) unverified MIT (permissive) · a553f41e56c3ebde · report
get_ideal_accuracy nybupt/athena/src/evaluation/compute_accuracy.py community (archive-listed) unverified MIT (permissive) · 0b0ce53ea12aed7f · report
k_means nybupt/athena/src/clustering/kmeans.py community (archive-listed) unverified MIT (permissive) · 19d7c5d5624b5935 · report
vote1 nybupt/athena/src/clustering/ensemble_model_KMeans.py community (archive-listed) unverified MIT (permissive) · db84b86fc5de368e · report

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