Sai Praneeth Karimireddy
Assistant Professor of Computer Science and Electrical and Computer Engineering
Works on optimization and federated, collaborative learning, including incentives for data sharing.
Sai Praneeth Karimireddy's lab at USC works on learning theory & optimization, trustworthy & safe ML and human-AI collaboration & trust. 34 papers since 2023, 20 at top venues, mostly ICML and ICLR. 6 PhD students. 5 alumni, most often to Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 59%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 15 papers2026 · T1 12 · collecting
- 7 papers2025 · T1 2
- 7 papers2024 · T1 3
- 5 papers2023 · T1 3
T1 venuesOtherVenues: ICML, ICLR, NeurIPS, TMLR, EMNLP
Research focuspaper titles that use each topic's words
- Learning theory & optimization13 papers
- Trustworthy & safe ML1 paper
- Human-AI collaboration & trust1 paper
- collaborative learning1 paper
- sharing0 papers
Paper list
From the lab homepage.
202615 papers
- ICML (T1)Beyond the Trade-off: Unifying Fairness and Performance in Federated Learning
- ICLR (T1)Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
- COLMContextLeak: Auditing Leakage in Private In-Context Learning Methods
- ICML (T1)EPSVEC: Efficient and Private Synthetic Data Generation via Dataset Vectors
- ICLR (T1)f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
- NeurIPS (T1)Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
- ICML (T1)Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
- NeurIPS (T1)Limits and Potential of Score-Based Data Valuation: Redundancy, Complementarity, and Non-Monotonicity
- Artificial Intelligence Science and EngineeringOnline Learning in a Creator Economy
- CAISOpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction
- ACL (T1)Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
- ECCV (T1)Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs
20257 papers
- EMNLP (T1)A Systematic Analysis of Base Model Choice for Reward Modeling
- TMLR (T1)Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
- IEEE International Conference on Big DataLIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
- ACL MainReconsidering LLM Uncertainty Estimation Methods in the Wild
- ICLR WorkshopThe Price is Right? Making Data Valuations Incentive-Compatible
- COLMThe Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
- EMNLP DemoTruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
20247 papers
- ICML (T1)Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
- NeurIPS SFLFM WorkshopConformal Prediction Adaptive to Unknown Subpopulation Shifts
- NeurIPS (T1)DAVED: Data Acquisition via Experimental Design for Decentralized Data Markets
- NeurIPS FL@FM WorkshopDefection-Free Collaboration between Competitors in a Learning System
- NPJ Digital MedicineMy-This-Your-That - Interpretable Identification of Systematic Bias in Federated Learning for Biomedical Images
- TMLR (T1)Optimization with Access to Auxiliary Information
- FORCPrivacy Can Arise Endogenously in an Economic System with Learning Agents
20235 papers
- ICLR (T1)Agree to Disagree: Diversity through Disagreement for Better Transferability
- ICML FL@FM WorkshopEvaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
- ICML (T1)Federated Conformal Predictors for Distributed Uncertainty Quantification
- FMECFederated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks
- TMLR (T1)Provably Personalized and Robust Federated Learning
Where alumni went5 listed, 50% to industry
Industry 2Academia 2
Most often to
- Microsoft
Also to
- Stony Brook University
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
USCcloses