Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Cryptography and Security — 39 papers
• Machine Learning — 37 papers
• Computer Vision and Pattern Recognition — 18 papers
• Adversarial Robustness in Machine Learning — 16 papers
• Software Engineering — 8 papers
• Privacy-Preserving Technologies in Data — 6 papers
• Software Testing and Debugging Techniques — 5 papers
• Security and Verification in Computing — 5 papers
• Artificial Intelligence — 4 papers
• Computation and Language — 4 papers

Highest-Cited Papers

1. DSC-PR: dynamic short-chain scheduling with projected relay for non-IID federated medical image classification
2. Impact of Adversarial Attacks on Robust Cancer Detection in Medical Images using Improved Optimization-based Adaptive Multi-Scale ShuffleNetV2
3. Evaluating Large Language Models for Symbolic Security Protocol Analysis
4. FakeMark: gradient-guided false watermark claims via robust feature fusion
5. Co-VLA: Consensus-based Federated Training for Vision-Language-Action Models
6. Fast Preemptive Robustification: High-Frequency Response Anti-Aligns Shared Vulnerability
7. PatchyBFT: Automating Diversification of Fault-Tolerant Systems using LLMs
8. Large Language Models as Falsifiers for Cyber-Physical Systems
9. Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
10. Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks
11. Federated Learning Framework for Privacy-Preserving Kidney Stone Detection
12. How Often Does Your Program Fail?
13. Compact Vision Models for Iris Presentation Attack Detection under Presentation Attack Instrument Shift and Environmental Degradation
14. Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning
15. SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
16. FedBCFA: a boundary-constrained feature alignment federated learning framework for multi-center breast MRI classification
17. Stealthy in Semantics, Antagonistic in Space: Attacking Visible-Infrared Object Detectors via Object-Level Misalignment
18. Reliable learning in challenging environments
19. AIJon: Automated Generation of Annotations for Fuzzing
20. Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling