← Authors

Linyi Li

25 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (44) 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam 🧬 Topic Evolution ⚑ Prolific Year (12) πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (88)

Conferences

NIPS (7) ICLR (5) ICML (5) AAAI (4) AISTATS (2) CORL (1) IJCAI (1)

Top co-authors

Bo Li (19) Xiaojun Xu (4) Ding Zhao (4) Ce Zhang (4) Tao Xie (4) Mintong Kang (3) Jiawei Zhang (3) Zhuolin Yang (3) Huan Zhang (2) ZUXIN LIU (2)

Keywords

adversarial robustness (10) certified robustness (7) robustness certification (3) randomized smoothing (3) query efficiency (2) benchmark evaluation (2) blackbox attack (2) adversarial attack (2) adversarial example (2) large language model (2) distributional robustness (2) neural network verification (2) camera motion (2) model robustness (1) logical reasoning (1) object detection (1) visual perception (1) image classification (1) computer vision (1) face recognition (1)

Papers

Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025
Collapsed Language Models Promote Fairness ICLR 2025
Certified Trustworthiness in the Era of Large Language Models AAAI 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models NIPS 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing ICML 2024
Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NIPS 2022
Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification NIPS 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing CORL 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022
On the Certified Robustness for Ensemble Models and Beyond ICLR 2022
Fairness in Federated Learning via Core-Stability NIPS 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models ICML 2022
Double Sampling Randomized Smoothing ICML 2022
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019