Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ Era
Fuente:
arXiv
Saved in:
| Main Authors: | Kundu, Satwik, Ghosh, Swaroop |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
by: Ghosh, Archisman, et al.
Published: (2025)
by: Ghosh, Archisman, et al.
Published: (2025)
Security Concerns in Quantum Machine Learning as a Service
by: Kundu, Satwik, et al.
Published: (2024)
by: Kundu, Satwik, et al.
Published: (2024)
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
by: Kundu, Satwik, et al.
Published: (2024)
by: Kundu, Satwik, et al.
Published: (2024)
Machine Learning Security against Data Poisoning: Are We There Yet?
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
by: Jia, Yuqi, et al.
Published: (2024)
by: Jia, Yuqi, et al.
Published: (2024)
QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits
by: Azimi, Navid, et al.
Published: (2026)
by: Azimi, Navid, et al.
Published: (2026)
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
by: Iftee, Md Akil Raihan, et al.
Published: (2025)
by: Iftee, Md Akil Raihan, et al.
Published: (2025)
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
by: Zhang, Jinghuai, et al.
Published: (2022)
by: Zhang, Jinghuai, et al.
Published: (2022)
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
by: Li, Ziqiang, et al.
Published: (2023)
by: Li, Ziqiang, et al.
Published: (2023)
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
by: Huang, Binxiao, et al.
Published: (2024)
by: Huang, Binxiao, et al.
Published: (2024)
IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields
by: Jiang, Wenxiang, et al.
Published: (2024)
by: Jiang, Wenxiang, et al.
Published: (2024)
Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)
by: Guo, Jiacheng, et al.
Published: (2024)
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)
by: Jang, Sangwon, et al.
Published: (2025)
Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)
by: Gao, Chenxing, et al.
Published: (2024)
Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
Energy-Latency Attacks via Sponge Poisoning
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
by: Cinà, Antonio Emanuele, et al.
Published: (2022)
Query-Efficient Video Adversarial Attack with Stylized Logo
by: Tang, Duoxun, et al.
Published: (2024)
by: Tang, Duoxun, et al.
Published: (2024)
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)
by: Pinhasov, Ben, et al.
Published: (2024)
Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024)
by: Etim, Anthony, et al.
Published: (2024)
CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
by: Li, Zhan, et al.
Published: (2025)
by: Li, Zhan, et al.
Published: (2025)
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)
by: Wang, Jiafeng, et al.
Published: (2022)
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
by: Ghosh, Archisman, et al.
Published: (2024)
by: Ghosh, Archisman, et al.
Published: (2024)
Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget
by: Yang, Yi, et al.
Published: (2026)
by: Yang, Yi, et al.
Published: (2026)
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)
by: Diao, Yunfeng, et al.
Published: (2024)
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)
by: Guesmi, Amira, et al.
Published: (2023)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
by: Zhang, Chiyu, et al.
Published: (2024)
by: Zhang, Chiyu, et al.
Published: (2024)
Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
by: Etim, Anthony, et al.
Published: (2024)
by: Etim, Anthony, et al.
Published: (2024)
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
by: Wang, Yanting, et al.
Published: (2024)
by: Wang, Yanting, et al.
Published: (2024)
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
by: Yook, Hyun Jun, et al.
Published: (2025)
by: Yook, Hyun Jun, et al.
Published: (2025)
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
by: Lorenz, Peter, et al.
Published: (2021)
by: Lorenz, Peter, et al.
Published: (2021)
Poisoning Attacks on Federated Learning for Autonomous Driving
by: Garg, Sonakshi, et al.
Published: (2024)
by: Garg, Sonakshi, et al.
Published: (2024)
DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)
by: Lee, Hyeyoon, et al.
Published: (2024)
Beyond Full Poisoning: Effective Availability Attacks with Partial Perturbation
by: Zhe, Yu, et al.
Published: (2024)
by: Zhe, Yu, et al.
Published: (2024)
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
by: Maag, Kira, et al.
Published: (2024)
by: Maag, Kira, et al.
Published: (2024)
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack
by: Li, Dongyang, et al.
Published: (2024)
by: Li, Dongyang, et al.
Published: (2024)
Similar Items
-
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
by: Ghosh, Archisman, et al.
Published: (2025) -
Security Concerns in Quantum Machine Learning as a Service
by: Kundu, Satwik, et al.
Published: (2024) -
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
by: Kundu, Satwik, et al.
Published: (2024) -
Machine Learning Security against Data Poisoning: Are We There Yet?
by: Cinà, Antonio Emanuele, et al.
Published: (2022) -
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
by: Jia, Yuqi, et al.
Published: (2024)