Implicit Steganography Beyond the Constraints of Modality
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Sojeong, Yang, Seoyun, Yoo, Chang D., Kim, Junmo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting Digital Safeguards: Blending Cryptography and Steganography
by: Maiti, Anamitra, et al.
Published: (2024)
by: Maiti, Anamitra, et al.
Published: (2024)
PSyDUCK: Training-Free Steganography for Latent Diffusion
by: Mahfuz, Aqib, et al.
Published: (2025)
by: Mahfuz, Aqib, et al.
Published: (2025)
Unified Steganography via Implicit Neural Representation
by: Song, Qi, et al.
Published: (2025)
by: Song, Qi, et al.
Published: (2025)
Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography
by: Li, Songze, et al.
Published: (2025)
by: Li, Songze, et al.
Published: (2025)
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
by: Masukawa, Ryozo, et al.
Published: (2025)
by: Masukawa, Ryozo, et al.
Published: (2025)
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
by: Lee, Uisang, et al.
Published: (2025)
by: Lee, Uisang, et al.
Published: (2025)
A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions
by: Lei, Yiming, et al.
Published: (2026)
by: Lei, Yiming, et al.
Published: (2026)
Robust GNN Watermarking via Implicit Perception of Topological Invariants
by: Li, Jipeng, et al.
Published: (2025)
by: Li, Jipeng, et al.
Published: (2025)
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
by: Wang, Shaowei, et al.
Published: (2024)
by: Wang, Shaowei, et al.
Published: (2024)
Hiding Functions within Functions: Steganography by Implicit Neural Representations
by: Liu, Jia, et al.
Published: (2023)
by: Liu, Jia, et al.
Published: (2023)
Graph Attention Networks with Physical Constraints for Anomaly Detection
by: Homaei, Mohammadhossein, et al.
Published: (2026)
by: Homaei, Mohammadhossein, et al.
Published: (2026)
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
by: Lalanne, Clément, et al.
Published: (2022)
by: Lalanne, Clément, et al.
Published: (2022)
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)
by: Dong, Xuewen, et al.
Published: (2025)
Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)
by: Khalil, Mona, et al.
Published: (2025)
A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
by: Zafar, Osama, et al.
Published: (2025)
by: Zafar, Osama, et al.
Published: (2025)
A Novel Approach to Image Steganography Using Generative Adversarial Networks
by: Rehman, Waheed
Published: (2024)
by: Rehman, Waheed
Published: (2024)
MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection
by: Kong, Kaichuan, et al.
Published: (2025)
by: Kong, Kaichuan, et al.
Published: (2025)
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
by: Guo, Tianyu, et al.
Published: (2024)
by: Guo, Tianyu, et al.
Published: (2024)
Beyond performance-wise Contribution Evaluation in Federated Learning
by: Pejo, Balazs
Published: (2026)
by: Pejo, Balazs
Published: (2026)
VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection
by: Biringa, Chidera, et al.
Published: (2026)
by: Biringa, Chidera, et al.
Published: (2026)
Beyond Crash: Hijacking Your Autonomous Vehicle for Fun and Profit
by: Sun, Qi, et al.
Published: (2026)
by: Sun, Qi, et al.
Published: (2026)
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
by: Pradhan, Gauri, et al.
Published: (2025)
by: Pradhan, Gauri, et al.
Published: (2025)
Scoring the Unscorables: Cyber Risk Assessment Beyond Internet Scans
by: Sarabi, Armin, et al.
Published: (2025)
by: Sarabi, Armin, et al.
Published: (2025)
Beyond Labeling Oracles: What does it mean to steal ML models?
by: Shafran, Avital, et al.
Published: (2023)
by: Shafran, Avital, et al.
Published: (2023)
Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
by: Chen, Luoyu, et al.
Published: (2026)
by: Chen, Luoyu, et al.
Published: (2026)
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)
by: Karthikeyan, Harish, et al.
Published: (2026)
by: Karthikeyan, Harish, et al.
Published: (2026)
Adversarial Attacks to Multi-Modal Models
by: Dou, Zhihao, et al.
Published: (2024)
by: Dou, Zhihao, et al.
Published: (2024)
Optimizing Region of Interest Selection for Effective Embedding in Video Steganography Based on Genetic Algorithms
by: Ali, Nizheen A., et al.
Published: (2025)
by: Ali, Nizheen A., et al.
Published: (2025)
Differentially Private Attention Computation
by: Gao, Yeqi, et al.
Published: (2023)
by: Gao, Yeqi, et al.
Published: (2023)
Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE
by: Mohammed, Riyazuddin, et al.
Published: (2026)
by: Mohammed, Riyazuddin, et al.
Published: (2026)
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning
by: Rinberg, Roy, et al.
Published: (2025)
by: Rinberg, Roy, et al.
Published: (2025)
Beyond Static Tools: Evaluating Large Language Models for Cryptographic Misuse Detection
by: Masood, Zohaib, et al.
Published: (2024)
by: Masood, Zohaib, et al.
Published: (2024)
Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2022)
by: Bostani, Hamid, et al.
Published: (2022)
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
by: Yuan, Hanyang, et al.
Published: (2024)
by: Yuan, Hanyang, et al.
Published: (2024)
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
by: Alsenani, Yousef, et al.
Published: (2024)
by: Alsenani, Yousef, et al.
Published: (2024)
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
by: Chen, Kai, et al.
Published: (2025)
by: Chen, Kai, et al.
Published: (2025)
Cross-Modal Safety Alignment: Is textual unlearning all you need?
by: Chakraborty, Trishna, et al.
Published: (2024)
by: Chakraborty, Trishna, et al.
Published: (2024)
MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification
by: Luo, Xiang, et al.
Published: (2025)
by: Luo, Xiang, et al.
Published: (2025)
FedIDM: Achieving Fast and Stable Convergence in Byzantine Federated Learning through Iterative Distribution Matching
by: Yang, He, et al.
Published: (2026)
by: Yang, He, et al.
Published: (2026)
Similar Items
-
Boosting Digital Safeguards: Blending Cryptography and Steganography
by: Maiti, Anamitra, et al.
Published: (2024) -
PSyDUCK: Training-Free Steganography for Latent Diffusion
by: Mahfuz, Aqib, et al.
Published: (2025) -
Unified Steganography via Implicit Neural Representation
by: Song, Qi, et al.
Published: (2025) -
Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography
by: Li, Songze, et al.
Published: (2025) -
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
by: Masukawa, Ryozo, et al.
Published: (2025)