ShadowGenes: Leveraging Recurring Patterns within Computational Graphs for Model Genealogy
Fuente:
arXiv
Saved in:
| Main Authors: | Schulz, Kasimir, Evans, Kieran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TokenBreak: Bypassing Text Classification Models Through Token Manipulation
by: Schulz, Kasimir, et al.
Published: (2025)
by: Schulz, Kasimir, et al.
Published: (2025)
ShadowLogic: Backdoors in Any Whitebox LLM
by: Schulz, Kasimir, et al.
Published: (2025)
by: Schulz, Kasimir, et al.
Published: (2025)
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
by: Wu, Yixin, et al.
Published: (2024)
by: Wu, Yixin, et al.
Published: (2024)
Efficient Differentially Private Fine-Tuning of Diffusion Models
by: Liu, Jing, et al.
Published: (2024)
by: Liu, Jing, et al.
Published: (2024)
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
by: Dong, Andy, et al.
Published: (2025)
by: Dong, Andy, et al.
Published: (2025)
Leveraging Large Language Models to Bridge Cross-Domain Transparency in Stablecoins
by: Xiang, Yuexin, et al.
Published: (2025)
by: Xiang, Yuexin, et al.
Published: (2025)
Leveraging Generative Models for Covert Messaging: Challenges and Tradeoffs for "Dead-Drop" Deployments
by: Bauer, Luke A., et al.
Published: (2021)
by: Bauer, Luke A., et al.
Published: (2021)
Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise
by: Lian, Puwei, et al.
Published: (2026)
by: Lian, Puwei, et al.
Published: (2026)
A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
by: Arazzi, Marco, et al.
Published: (2023)
by: Arazzi, Marco, et al.
Published: (2023)
On Stealing Graph Neural Network Models
by: Podhajski, Marcin, et al.
Published: (2025)
by: Podhajski, Marcin, et al.
Published: (2025)
Leveraging Optimization for Adaptive Attacks on Image Watermarks
by: Lukas, Nils, et al.
Published: (2023)
by: Lukas, Nils, et al.
Published: (2023)
Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
Towards Biologically Plausible and Private Gene Expression Data Generation
by: Chen, Dingfan, et al.
Published: (2024)
by: Chen, Dingfan, et al.
Published: (2024)
FedQV: Leveraging Quadratic Voting in Federated Learning
by: Chu, Tianyue, et al.
Published: (2024)
by: Chu, Tianyue, et al.
Published: (2024)
A Systematic Study of Model Extraction Attacks on Graph Foundation Models
by: Xu, Haoyan, et al.
Published: (2025)
by: Xu, Haoyan, et al.
Published: (2025)
Training Differentially Private Models with Secure Multiparty Computation
by: Pentyala, Sikha, et al.
Published: (2022)
by: Pentyala, Sikha, et al.
Published: (2022)
Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
by: Neha, et al.
Published: (2025)
by: Neha, et al.
Published: (2025)
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
Proteus: Preserving Model Confidentiality during Graph Optimizations
by: Gao, Yubo, et al.
Published: (2024)
by: Gao, Yubo, et al.
Published: (2024)
SLVR: Securely Leveraging Client Validation for Robust Federated Learning
by: Choi, Jihye, et al.
Published: (2025)
by: Choi, Jihye, et al.
Published: (2025)
Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
by: Nguyen, Quan Minh, et al.
Published: (2026)
by: Nguyen, Quan Minh, et al.
Published: (2026)
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
by: Meng, Nicole, et al.
Published: (2024)
by: Meng, Nicole, et al.
Published: (2024)
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
by: Shejwalkar, Virat, et al.
Published: (2022)
by: Shejwalkar, Virat, et al.
Published: (2022)
Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
by: Tellache, Amine, et al.
Published: (2025)
by: Tellache, Amine, et al.
Published: (2025)
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation
by: Maddock, Samuel, et al.
Published: (2025)
by: Maddock, Samuel, et al.
Published: (2025)
Differentially Private Modeling of Disease Transmission within Human Contact Networks
by: Hod, Shlomi, et al.
Published: (2026)
by: Hod, Shlomi, et al.
Published: (2026)
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
by: Lu, Jiacheng, et al.
Published: (2026)
by: Lu, Jiacheng, et al.
Published: (2026)
Hiding Backdoors within Event Sequence Data via Poisoning Attacks
by: Ermilova, Alina, et al.
Published: (2023)
by: Ermilova, Alina, et al.
Published: (2023)
Adversarial Patterns: Building Robust Android Malware Classifiers
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
by: Zhu, Zhihao, et al.
Published: (2023)
by: Zhu, Zhihao, et al.
Published: (2023)
Using Retriever Augmented Large Language Models for Attack Graph Generation
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks
by: Lin, Junhua, et al.
Published: (2025)
by: Lin, Junhua, et al.
Published: (2025)
MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection
by: Hamhoum, Wissal, et al.
Published: (2024)
by: Hamhoum, Wissal, et al.
Published: (2024)
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
by: Trong, Thua Huynh, et al.
Published: (2024)
by: Trong, Thua Huynh, et al.
Published: (2024)
Design Patterns for Securing LLM Agents against Prompt Injections
by: Beurer-Kellner, Luca, et al.
Published: (2025)
by: Beurer-Kellner, Luca, et al.
Published: (2025)
SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
by: Vitorino, João, et al.
Published: (2025)
by: Vitorino, João, et al.
Published: (2025)
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
by: Lou, Jiadong, et al.
Published: (2025)
by: Lou, Jiadong, et al.
Published: (2025)
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
by: Wang, Zebin, et al.
Published: (2025)
by: Wang, Zebin, et al.
Published: (2025)
CyberGFM: Graph Foundation Models for Lateral Movement Detection in Enterprise Networks
by: King, Isaiah J., et al.
Published: (2026)
by: King, Isaiah J., et al.
Published: (2026)
Similar Items
-
TokenBreak: Bypassing Text Classification Models Through Token Manipulation
by: Schulz, Kasimir, et al.
Published: (2025) -
ShadowLogic: Backdoors in Any Whitebox LLM
by: Schulz, Kasimir, et al.
Published: (2025) -
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
by: Wu, Yixin, et al.
Published: (2024) -
Efficient Differentially Private Fine-Tuning of Diffusion Models
by: Liu, Jing, et al.
Published: (2024) -
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
by: Dong, Andy, et al.
Published: (2025)