Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (CoRR, 2020)

Norm-Scaling for Out-of-Distribution Detection. - Deepak Ravikumar; Kaushik Roy 001 (CoRR, 2022)

Intra-Class Mixup for Out-of-Distribution Detection. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (IEEE Access, 2023)

TREND: Transferability-Based Robust ENsemble Design. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (IEEE Trans. Artif. Intell., 2023)

Memorization Through the Lens of Curvature of Loss Function Around Samples. - Isha Garg; Deepak Ravikumar; Kaushik Roy 001 (ICML, 2024)

Unveiling Privacy, Memorization, and Input Curvature Links. - Deepak Ravikumar; Efstathia Soufleri; Abolfazl Hashemi; Kaushik Roy 001 (ICML, 2024)

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. - Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (NeurIPS, 2024)

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. - Sangamesh Kodge; Deepak Ravikumar; Gobinda Saha; Kaushik Roy 001 (CoRR, 2024)

Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. - Efstathia Soufleri; Deepak Ravikumar; Kaushik Roy 001 (CoRR, 2024)

Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. - Deepak Ravikumar; Gobinda Saha; Sai Aparna Aketi; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. - Efstathia Soufleri; Deepak Ravikumar; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. - Deepak Ravikumar; Alex Yeo; Yiwen Zhu; Aditya Lakra; Harsha Nagulapalli; Santhosh Ravindran; Steve Suh; Niharika Dutta; Andrew Fogarty; Yoonjae Park; Sumeet Khushalani; Arijit Tarafdar; et al. (Proc. VLDB Endow., 2024)

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. - Sangamesh Kodge; Deepak Ravikumar; Gobinda Saha; Kaushik Roy 001 (AAAI, 2025)

Improved Out-of-Distribution Detection with Additive Angular Margin Loss. - Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (CVPR Workshops, 2025)

Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks. - Deepak Ravikumar; Jimmy Gammell; Kaushik Roy 001 (IOLTS, 2025)

Finding the Muses: Identifying Coresets through Loss Trajectories. - Manish Nagaraj; Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (CoRR, 2025)