Identifying Adversary Characteristics from an Observed Attack
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Soyon, Alfeld, Scott, Ma, Meiyi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers
by: Agah, Nora, et al.
Published: (2025)
by: Agah, Nora, et al.
Published: (2025)
Adversarial Attacks on Data Attribution
by: Wang, Xinhe, et al.
Published: (2024)
by: Wang, Xinhe, et al.
Published: (2024)
Formal Logic Enabled Personalized Federated Learning Through Property Inference
by: An, Ziyan, et al.
Published: (2024)
by: An, Ziyan, et al.
Published: (2024)
On the Parameter Identifiability of Partially Observed Linear Causal Models
by: Dong, Xinshuai, et al.
Published: (2024)
by: Dong, Xinshuai, et al.
Published: (2024)
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
by: Zhu, Meiyi, et al.
Published: (2024)
by: Zhu, Meiyi, et al.
Published: (2024)
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Adversarial Attacks for Drift Detection
by: Hinder, Fabian, et al.
Published: (2024)
by: Hinder, Fabian, et al.
Published: (2024)
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
by: Zhu, Meiyi, et al.
Published: (2026)
by: Zhu, Meiyi, et al.
Published: (2026)
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets
by: Li, Meiyi, et al.
Published: (2023)
by: Li, Meiyi, et al.
Published: (2023)
DARD: Dice Adversarial Robustness Distillation against Adversarial Attacks
by: Zou, Jing, et al.
Published: (2025)
by: Zou, Jing, et al.
Published: (2025)
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
by: Baek, Seungheun, et al.
Published: (2025)
by: Baek, Seungheun, et al.
Published: (2025)
Fast Adversarial Attacks with Gradient Prediction
by: Ciosek, Kamil, et al.
Published: (2026)
by: Ciosek, Kamil, et al.
Published: (2026)
Selective Adversarial Attacks on LLM Benchmarks
by: Dubrovsky, Ivan, et al.
Published: (2025)
by: Dubrovsky, Ivan, et al.
Published: (2025)
Stochastic Bandits Robust to Adversarial Attacks
by: Wang, Xuchuang, et al.
Published: (2024)
by: Wang, Xuchuang, et al.
Published: (2024)
Adversarial Attacks in Weight-Space Classifiers
by: Shor, Tamir, et al.
Published: (2025)
by: Shor, Tamir, et al.
Published: (2025)
Adversarial Attacks and Dimensionality in Text Classifiers
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
Backdoor or Manipulation? Graph Mixture of Experts Can Defend Against Various Graph Adversarial Attacks
by: Feng, Yuyuan, et al.
Published: (2025)
by: Feng, Yuyuan, et al.
Published: (2025)
On the Robustness of Adversarial Training Against Uncertainty Attacks
by: Ledda, Emanuele, et al.
Published: (2024)
by: Ledda, Emanuele, et al.
Published: (2024)
Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)
by: Chan, Eunice, et al.
Published: (2025)
Adversarial Attacks on Fairness of Graph Neural Networks
by: Zhang, Binchi, et al.
Published: (2023)
by: Zhang, Binchi, et al.
Published: (2023)
Adversarial Attacks on Hyperbolic Networks
by: van Spengler, Max, et al.
Published: (2024)
by: van Spengler, Max, et al.
Published: (2024)
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
by: Liu, Yilin, et al.
Published: (2026)
by: Liu, Yilin, et al.
Published: (2026)
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
by: Zhang, Jiaming, et al.
Published: (2024)
by: Zhang, Jiaming, et al.
Published: (2024)
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
by: Lin, Fudong, et al.
Published: (2025)
by: Lin, Fudong, et al.
Published: (2025)
Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
by: Dabas, Mahavir, et al.
Published: (2025)
by: Dabas, Mahavir, et al.
Published: (2025)
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
by: Ma, Oubo, et al.
Published: (2024)
by: Ma, Oubo, et al.
Published: (2024)
HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
by: Chok, Yan Ting, et al.
Published: (2025)
by: Chok, Yan Ting, et al.
Published: (2025)
DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)
by: Lee, Hyeyoon, et al.
Published: (2024)
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
by: Liu, Ziquan, et al.
Published: (2024)
by: Liu, Ziquan, et al.
Published: (2024)
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
by: Zhe, Yu, et al.
Published: (2024)
by: Zhe, Yu, et al.
Published: (2024)
Towards Certification of Uncertainty Calibration under Adversarial Attacks
by: Emde, Cornelius, et al.
Published: (2024)
by: Emde, Cornelius, et al.
Published: (2024)
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
by: Li, Teng, et al.
Published: (2025)
by: Li, Teng, et al.
Published: (2025)
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles
by: Shukla, Shubhi, et al.
Published: (2021)
by: Shukla, Shubhi, et al.
Published: (2021)
Algebraic Adversarial Attacks on Integrated Gradients
by: Simpson, Lachlan, et al.
Published: (2024)
by: Simpson, Lachlan, et al.
Published: (2024)
Algebraic Adversarial Attacks on Explainability Models
by: Simpson, Lachlan, et al.
Published: (2025)
by: Simpson, Lachlan, et al.
Published: (2025)
Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm
by: Teichner, Ron, et al.
Published: (2024)
by: Teichner, Ron, et al.
Published: (2024)
Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
by: Raff, Edward, et al.
Published: (2025)
by: Raff, Edward, et al.
Published: (2025)
How Worst-Case Are Adversarial Attacks? Linking Adversarial and Perturbation Robustness
by: Rossolini, Giulio
Published: (2026)
by: Rossolini, Giulio
Published: (2026)
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Generalization Properties of Adversarial Training for $\ell_0$-Bounded Adversarial Attacks
by: Delgosha, Payam, et al.
Published: (2024)
by: Delgosha, Payam, et al.
Published: (2024)
Similar Items
-
Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers
by: Agah, Nora, et al.
Published: (2025) -
Adversarial Attacks on Data Attribution
by: Wang, Xinhe, et al.
Published: (2024) -
Formal Logic Enabled Personalized Federated Learning Through Property Inference
by: An, Ziyan, et al.
Published: (2024) -
On the Parameter Identifiability of Partially Observed Linear Causal Models
by: Dong, Xinshuai, et al.
Published: (2024) -
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
by: Zhu, Meiyi, et al.
Published: (2024)