:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Delgosha, Payam, Hassani, Hamed, Pedarsani, Ramtin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	https://arxiv.org/abs/2402.03576
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
by: Kang, Justin, et al.
Published: (2023)

Efficient Adversarial Training in LLMs with Continuous Attacks
by: Xhonneux, Sophie, et al.
Published: (2024)

Property-Preserving Hashing for $\ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks
by: Asghar, Hassan, et al.
Published: (2025)

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
by: Jin, Zhibo, et al.
Published: (2024)

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2026)

Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]
by: Cortellazzi, Jacopo, et al.
Published: (2019)

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
by: Shahgir, Haz Sameen, et al.
Published: (2023)

Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
by: Yeh, Cheng-Han, et al.
Published: (2024)

Adversarial Contrastive Learning for LLM Quantization Attacks
by: Song, Dinghong, et al.
Published: (2026)

Temporal Analysis of Adversarial Attacks in Federated Learning
by: Mapakshi, Rohit, et al.
Published: (2025)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)

Colliding with Adversaries at ECML-PKDD 2025 Adversarial Attack Competition 1st Prize Solution
by: Stefanopoulos, Dimitris, et al.
Published: (2025)

Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
by: Obadinma, Stephen, et al.
Published: (2024)

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2026)

On the Effectiveness of Adversarial Training on Malware Classifiers
by: Bostani, Hamid, et al.
Published: (2024)

INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression
by: Tokgoz, Gamze Kirman, et al.
Published: (2026)

Adversarial Inception Backdoor Attacks against Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2024)

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
by: Wang, Zhiwei, et al.
Published: (2024)

Evaluating Adversarial Attacks on Federated Learning for Temperature Forecasting
by: Chichifoi, Karina, et al.
Published: (2025)

Adversarial Attacks on Locally Private Graph Neural Networks
by: Varun, Matta, et al.
Published: (2026)

The Relationship Between Network Similarity and Transferability of Adversarial Attacks
by: Klause, Gerrit, et al.
Published: (2025)

Differentiable Adversarial Attacks for Marked Temporal Point Processes
by: Chakraborty, Pritish, et al.
Published: (2025)

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
by: Schulze, J. -P., et al.
Published: (2021)

Mitigating Error Amplification in Fast Adversarial Training
by: Zhao, Mengnan, et al.
Published: (2026)

Vulnerability-Aware Robust Multimodal Adversarial Training
by: Zhang, Junrui, et al.
Published: (2025)

Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
by: Kaneko, Masahiro, et al.
Published: (2025)

$σ$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)

Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
by: Fu, Shaopeng, et al.
Published: (2025)

Passive Inference Attacks on Split Learning via Adversarial Regularization
by: Zhu, Xiaochen, et al.
Published: (2023)

Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations
by: Liu, Jun, et al.
Published: (2026)

Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability
by: Rao, Akshay G, et al.
Published: (2025)

Real-World Adversarial Attacks on RF-Based Drone Detectors
by: Gazit, Omer, et al.
Published: (2025)

A Comprehensive Analysis of Adversarial Attacks against Spam Filters
by: Hotoğlu, Esra, et al.
Published: (2025)

Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
by: Chanda, Dibaloke, et al.
Published: (2023)

Moshi Moshi? A Model Selection Hijacking Adversarial Attack
by: Petrucci, Riccardo, et al.
Published: (2025)

Adversarial Attacks on Graph Neural Networks via Meta Learning
by: Zügner, Daniel, et al.
Published: (2019)

Adversarial Attacks to Multi-Modal Models
by: Dou, Zhihao, et al.
Published: (2024)

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
by: Simonetto, Thibault, et al.
Published: (2024)

Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
by: Askarizadeh, Mohammad Javad, et al.
Published: (2024)