EUVD-2025-14755

Malicious code in bioql PyPI...

EUVD-2025-15725

Malicious code in bioql PyPI...

EUVD-2023-24241

Malicious code in bioql PyPI...

EUVD-2023-26186

Malicious code in bioql PyPI...

EUVD-2022-26645

Malicious code in bioql PyPI...

EUVD-2023-26057

Malicious code in bioql PyPI...

EUVD-2024-30749

Malicious code in bioql PyPI...

EUVD-2024-18040

Malicious code in bioql PyPI...

EUVD-2025-21714

Malicious code in bioql PyPI...

EUVD-2023-26273

Malicious code in bioql PyPI...

EUVD-2025-32066

Malicious code in bioql PyPI...

EUVD-2023-26130

Malicious code in bioql PyPI...

EUVD-2023-24237

Malicious code in bioql PyPI...

EUVD-2025-16788

Malicious code in bioql PyPI...

EUVD-2024-23427

Malicious code in bioql PyPI...

EUVD-2025-25424

Malicious code in bioql PyPI...

EUVD-2025-19180

Malicious code in bioql PyPI...

EUVD-2024-41271

Malicious code in bioql PyPI...

EUVD-2024-39127

Malicious code in bioql PyPI...

Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications

Explainable Artificial Intelligence XAI has aided machine learning ML researchers with the power of scrutinizing the decisions of the black-box models. XAI methods enable looking deep inside the models' behavior, eventually generating explanations along with a perceived trust and transparency...