Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Etim, Anthony, Szefer, Jakub |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024)
by: Etim, Anthony, 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)
Fault Injection Attacks on Machine Learning-based Quantum Computer Readout Error Correction
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
by: Costa, Joana C., et al.
Published: (2025)
by: Costa, Joana C., et al.
Published: (2025)
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
by: Yilmaz, Eda, et al.
Published: (2024)
by: Yilmaz, Eda, et al.
Published: (2024)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, 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)
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)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
by: Zhou, Qi, et al.
Published: (2024)
by: Zhou, Qi, 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)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)
by: Chen, Ruoxi, et al.
Published: (2021)
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)
by: Li, Qizhang, et al.
Published: (2023)
Membership Inference Attack Against Masked Image Modeling
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
A Multi-task Adversarial Attack Against Face Authentication
by: Wang, Hanrui, et al.
Published: (2024)
by: Wang, Hanrui, et al.
Published: (2024)
Adversarial Examples are Misaligned in Diffusion Model Manifolds
by: Lorenz, Peter, et al.
Published: (2024)
by: Lorenz, Peter, et al.
Published: (2024)
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)
See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems
by: Bouzidi, Halima, et al.
Published: (2025)
by: Bouzidi, Halima, et al.
Published: (2025)
One-Index Vector Quantization Based Adversarial Attack on Image Classification
by: Fan, Haiju, et al.
Published: (2024)
by: Fan, Haiju, et al.
Published: (2024)
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
PubDef: Defending Against Transfer Attacks From Public Models
by: Sitawarin, Chawin, et al.
Published: (2023)
by: Sitawarin, Chawin, et al.
Published: (2023)
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)
by: Guo, Jiacheng, et al.
Published: (2024)
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples
by: Iijima, Ryota, et al.
Published: (2024)
by: Iijima, Ryota, et al.
Published: (2024)
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
by: Sun, Shihua, et al.
Published: (2024)
by: Sun, Shihua, et al.
Published: (2024)
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023)
by: Liu, Jiang, et al.
Published: (2023)
Data-free Defense of Black Box Models Against Adversarial Attacks
by: Nayak, Gaurav Kumar, et al.
Published: (2022)
by: Nayak, Gaurav Kumar, et al.
Published: (2022)
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
by: Wang, Xuyang, et al.
Published: (2025)
by: Wang, Xuyang, 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)
Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
HoneypotNet: Backdoor Attacks Against Model Extraction
by: Wang, Yixu, et al.
Published: (2025)
by: Wang, Yixu, et al.
Published: (2025)
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning
by: Ali, Hassan, et al.
Published: (2024)
by: Ali, Hassan, et al.
Published: (2024)
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
by: Yehezkel, Oryan, et al.
Published: (2024)
by: Yehezkel, Oryan, et al.
Published: (2024)
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)
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)
Generating Image Adversarial Examples by Embedding Digital Watermarks
by: Xiang, Yuexin, et al.
Published: (2020)
by: Xiang, Yuexin, et al.
Published: (2020)
ConSeg: Contextual Backdoor Attack Against Semantic Segmentation
by: Abbasi, Bilal Hussain, et al.
Published: (2025)
by: Abbasi, Bilal Hussain, et al.
Published: (2025)
Similar Items
-
Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025) -
Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024) -
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025) -
Fault Injection Attacks on Machine Learning-based Quantum Computer Readout Error Correction
by: Etim, Anthony, et al.
Published: (2025) -
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
by: Costa, Joana C., et al.
Published: (2025)