Cryptography and Security · Computer Science
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees +1
2023-03-14
Machine Learning · Computer Science
SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks
Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Angelos Antonopoulos
2022-11-22
Distributed, Parallel, and Cluster Computing · Computer Science
Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
Novak Boskov, Mihailo Isakov, Michel A. Kinsy
2019-12-04
Cryptography and Security · Computer Science
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang +5
2024-02-06
Cryptography and Security · Computer Science
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
Jiang Hao, Xiao Jin, Hu Xiaoguang, Chen Tianyou +1
2024-08-23
Computational Engineering, Finance, and Science · Computer Science
DuMu$^\text{x}$ 3 -- an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling
Timo Koch, Dennis Gläser, Kilian Weishaupt, Sina Ackermann +20
2020-03-23
Signal Processing · Electrical Eng. & Systems
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen +2
2020-02-07
Cryptography and Security · Computer Science
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2021-12-08
Cryptography and Security · Computer Science
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf +1
2023-12-15
Machine Learning · Computer Science
Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning
Giulio Rossolini, Fabio Brau, Alessandro Biondi, Battista Biggio +1
2025-07-11
Cryptography and Security · Computer Science
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
Di Tang, XiaoFeng Wang, Haixu Tang, Kehuan Zhang
2020-12-11
Cryptography and Security · Computer Science
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen +2
2025-08-05
Cryptography and Security · Computer Science
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca +3
2018-03-13
Machine Learning · Computer Science
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen +3
2022-08-01
Computer Vision and Pattern Recognition · Computer Science
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase +1
2023-02-10
Cryptography and Security · Computer Science
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems
Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael Abu-Ghazaleh +2
2022-03-31
Cryptography and Security · Computer Science
BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
Jia Wu, Yu Pan, Junjun Yang, Yi Du
2026-05-29
Cryptography and Security · Computer Science
Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection
Sun RuiJin, Guo ShiZe, Guo JinHong, Xing ChangYou +3
2022-09-07
Cryptography and Security · Computer Science
On the Resilience of Machine Learning-Based IDS for Automotive Networks
Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi +2
2023-06-27