The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Authors: Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan | Published: 2024-05-14
敵対的訓練
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
Authors: Matous Kozak, Luca Demetrio, Dmitrijs Trizna, Fabio Roli | Published: 2024-05-04
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Authors: Xi Xin, Giles Hooker, Fei Huang | Published: 2024-04-29 | Updated: 2024-05-01
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Authors: Maximilian Wendlinger, Kilian Tscharke, Pascal Debus | Published: 2024-04-24
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
Authors: Vidit Khazanchi, Pavan Kulkarni, Yuvaraj Govindarajulu, Manojkumar Parmar | Published: 2024-04-24 | Updated: 2024-05-02
Multimodal Attack Detection for Action Recognition Models
Authors: Furkan Mumcu, Yasin Yilmaz | Published: 2024-04-13
Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers
Authors: Nayan Moni Baishya, B. R. Manoj | Published: 2024-04-11
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Authors: Francesco Marchiori, Mauro Conti | Published: 2024-04-06
ADAPT to Robustify Prompt Tuning Vision Transformers
Authors: Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy | Published: 2024-03-19 | Updated: 2025-02-07
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Authors: Andrea Venturi, Dario Stabili, Mirco Marchetti | Published: 2024-03-18 | Updated: 2024-04-23