Saved in:
| Main Authors: | Deshmukh, Soham, Rade, Rahul, Kazi, Faruk |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1905.11824 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Modeling of Disease Transmission within Human Contact Networks
by: Hod, Shlomi, et al.
Published: (2026)
by: Hod, Shlomi, et al.
Published: (2026)
Watermarking Generative Tabular Data
by: He, Hengzhi, et al.
Published: (2024)
by: He, Hengzhi, et al.
Published: (2024)
Differentially Private Log-Location-Scale Regression Using Functional Mechanism
by: Sheng, Jiewen, et al.
Published: (2024)
by: Sheng, Jiewen, et al.
Published: (2024)
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
by: Lau, Matthew, et al.
Published: (2025)
by: Lau, Matthew, et al.
Published: (2025)
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
by: Xin, Xi, et al.
Published: (2024)
by: Xin, Xi, et al.
Published: (2024)
Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
by: Caballero, William N., et al.
Published: (2024)
by: Caballero, William N., et al.
Published: (2024)
Automated Alert Classification and Triage (AACT): An Intelligent System for the Prioritisation of Cybersecurity Alerts
by: Turcotte, Melissa, et al.
Published: (2025)
by: Turcotte, Melissa, et al.
Published: (2025)
An algorithm for forensic toolmark comparisons
by: Cuellar, Maria, et al.
Published: (2023)
by: Cuellar, Maria, et al.
Published: (2023)
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
by: Zhang, Hangsheng, et al.
Published: (2024)
by: Zhang, Hangsheng, et al.
Published: (2024)
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)
by: Perkonoja, Katariina, et al.
Published: (2023)
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
by: Nombo, Leila, et al.
Published: (2024)
by: Nombo, Leila, et al.
Published: (2024)
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
by: Awasthi, Anant Prakash, et al.
Published: (2024)
by: Awasthi, Anant Prakash, et al.
Published: (2024)
Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
by: Peng, Weike, et al.
Published: (2024)
by: Peng, Weike, et al.
Published: (2024)
Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)
The 2020 US Decennial Census is more private than you (might) think
by: Su, Buxin, et al.
Published: (2024)
by: Su, Buxin, et al.
Published: (2024)
On Large Language Models in National Security Applications
by: Caballero, William N., et al.
Published: (2024)
by: Caballero, William N., et al.
Published: (2024)
DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
by: Aftabi, Navid, et al.
Published: (2025)
by: Aftabi, Navid, et al.
Published: (2025)
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness
by: Meyers, Charles, et al.
Published: (2024)
by: Meyers, Charles, et al.
Published: (2024)
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols
by: Deshmukh, Atharv
Published: (2024)
by: Deshmukh, Atharv
Published: (2024)
Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
by: Chakraborty, Richik, et al.
Published: (2026)
by: Chakraborty, Richik, et al.
Published: (2026)
Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption
by: Chen, Gaoyi, et al.
Published: (2026)
by: Chen, Gaoyi, et al.
Published: (2026)
Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)
by: Perusquía, José A., et al.
Published: (2020)
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
by: Nasr, Milad, et al.
Published: (2025)
by: Nasr, Milad, et al.
Published: (2025)
FPGA Digital Dice using Pseudo Random Number Generator
by: Hian, Michael Lim Kee, et al.
Published: (2024)
by: Hian, Michael Lim Kee, et al.
Published: (2024)
Concept Drift Detection using Ensemble of Integrally Private Models
by: Varshney, Ayush K., et al.
Published: (2024)
by: Varshney, Ayush K., et al.
Published: (2024)
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction
by: Faruk, Tanjim Bin
Published: (2024)
by: Faruk, Tanjim Bin
Published: (2024)
DP-SNP-TIHMM: Differentially Private, Time-Inhomogeneous Hidden Markov Models for Synthesizing Genome-Wide Association Datasets
by: Rahimian, Shadi, et al.
Published: (2025)
by: Rahimian, Shadi, et al.
Published: (2025)
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
by: Li, Ding, et al.
Published: (2024)
by: Li, Ding, et al.
Published: (2024)
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
by: Benoit, Tristan, et al.
Published: (2024)
by: Benoit, Tristan, et al.
Published: (2024)
Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
by: Yang, Fan, et al.
Published: (2026)
by: Yang, Fan, et al.
Published: (2026)
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
by: Rosenthal, Jonathan, et al.
Published: (2024)
by: Rosenthal, Jonathan, et al.
Published: (2024)
Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
by: Ryan, Reza, et al.
Published: (2025)
by: Ryan, Reza, et al.
Published: (2025)
Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
by: Chandekar, Prathamesh, et al.
Published: (2025)
by: Chandekar, Prathamesh, et al.
Published: (2025)
Eclipse Attack Detection on a Blockchain Network as a Non-Parametric Change Detection Problem
by: Gupta, Anurag, et al.
Published: (2024)
by: Gupta, Anurag, et al.
Published: (2024)
Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
by: He, Meng, et al.
Published: (2026)
by: He, Meng, et al.
Published: (2026)
A Public Dataset For the ZKsync Rollup
by: Silva, Maria Inês, et al.
Published: (2024)
by: Silva, Maria Inês, et al.
Published: (2024)
Exposed: Shedding Blacklight on Online Privacy
by: Shen, Lucas, et al.
Published: (2025)
by: Shen, Lucas, et al.
Published: (2025)
Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024)
by: Cho, Young Hyun, et al.
Published: (2024)
Similar Items
-
Differentially Private Modeling of Disease Transmission within Human Contact Networks
by: Hod, Shlomi, et al.
Published: (2026) -
Watermarking Generative Tabular Data
by: He, Hengzhi, et al.
Published: (2024) -
Differentially Private Log-Location-Scale Regression Using Functional Mechanism
by: Sheng, Jiewen, et al.
Published: (2024) -
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
by: Lau, Matthew, et al.
Published: (2025) -
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
by: Xin, Xi, et al.
Published: (2024)