Cover Image

Deep Learning model integrity checking mechanism using watermarking technique

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoque, Shahinul, Riya, Farhin Farhad, Yang, Yingyuan, Sun, Jinyuan
Format:	Preprint
Published:	2023
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
by: Riya, Farhin Farhad, et al.
Published: (2023)

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
by: Riya, Farhin Farhad, et al.
Published: (2023)

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
by: Riya, Farhin Farhad, et al.
Published: (2026)

HRI Challenges Influencing Low Usage of Robotic Systems in Disaster Response and Rescue Operations
by: Hoque, Shahinul, et al.
Published: (2024)

Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage
by: Hoque, Shahinul, et al.
Published: (2026)

Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation
by: Li, Jiangnan, et al.
Published: (2024)

Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
by: Riya, Farhin Farhad, et al.
Published: (2025)

Smart Driver Monitoring Robotic System to Enhance Road Safety : A Comprehensive Review
by: Riya, Farhin Farhad, et al.
Published: (2024)

Optimizing watermarks for large language models
by: Wouters, Bram
Published: (2023)

RIOT-based smart metering system for privacy-preserving data aggregation using watermarking and encryption
by: Kabir, Farzana, et al.
Published: (2025)

"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking
by: Zhang, Xinyu, et al.
Published: (2026)

CycleGANWM: A CycleGAN watermarking method for ownership verification
by: Lin, Dongdong, et al.
Published: (2022)

PersonaMark: Personalized LLM watermarking for model protection and user attribution
by: Zhang, Yuehan, et al.
Published: (2024)

Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
by: Serra-Ruiz, Jordi, et al.
Published: (2025)

Switching multiplicative watermark design against covert attacks
by: Gallo, Alexander J., et al.
Published: (2025)

SynthID-Image: Image watermarking at internet scale
by: Gowal, Sven, et al.
Published: (2025)

FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning
by: Khalil, Khurram, et al.
Published: (2025)

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024)

EnsembleSHAP: Faithful and Certifiably Robust Attribution for Random Subspace Method
by: Wang, Yanting, et al.
Published: (2026)

Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
by: Zhao, Xuandong, et al.
Published: (2024)

Silent Guardians: Independent and Secure Decision Tree Evaluation Without Chatter
by: Li, Jinyuan, et al.
Published: (2026)

Proving membership in LLM pretraining data via data watermarks
by: Wei, Johnny Tian-Zheng, et al.
Published: (2024)

FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
by: Wang, Yanting, et al.
Published: (2024)

FuzzEval: Assessing Fuzzers on Generating Context-Sensitive Inputs
by: Hasan, S Mahmudul, et al.
Published: (2024)

WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
by: Giboulot, Eva, et al.
Published: (2024)

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
by: Liu, Yupei, et al.
Published: (2025)

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions
by: Farhad, Mohammad, et al.
Published: (2025)

AgentWatcher: A Rule-based Prompt Injection Monitor
by: Wang, Yanting, et al.
Published: (2026)

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption
by: Wang, Yanting, et al.
Published: (2026)

TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation
by: Ye, Hengkai, et al.
Published: (2026)

HOACS: Homomorphic Obfuscation Assisted Concealing of Secrets to Thwart Trojan Attacks in COTS Processor
by: Hossain, Tanvir, et al.
Published: (2024)

Tech-ASan: Two-stage check for Address Sanitizer
by: Cao, Yixuan, et al.
Published: (2025)

Evaluating LLM-based Personal Information Extraction and Countermeasures
by: Liu, Yupei, et al.
Published: (2024)

VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime
by: Nafis, Akib Jawad, et al.
Published: (2023)

Information Leakage from Data Updates in Machine Learning Models
by: Hui, Tian, et al.
Published: (2023)

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
by: Yin, Chenlong, et al.
Published: (2026)

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
by: Li, Jiate, et al.
Published: (2025)

TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization
by: Wang, Yanting, et al.
Published: (2025)

Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success
by: Maple, Carsten, et al.
Published: (2026)

Presenting a new approach in security in inter-vehicle networks (VANET)
by: Yousefi, Davoud, et al.
Published: (2024)