NETRA: : seeing through access control. - Prasad Naldurg; Stefan Schwoon; Sriram K. Rajamani; John Lambert (FMSE, 2006)

ZDVUE: prioritization of javascript attacks to discover new vulnerabilities. - Sandeep Karanth; Srivatsan Laxman; Prasad Naldurg; Ramarathnam Venkatesan; John Lambert; Jinwook Shin (AISec, 2011)

Deep Learning Under Privileged Information Using Heteroscedastic Dropout. - John Lambert; Ozan Sener; Silvio Savarese (CVPR, 2018)

Latte: Large-Scale Lateral Movement Detection. - Qingyun Liu 003; Jack W. Stokes; Rob Mead; Tim Burrell; Ian Hellen; John Lambert; Andrey Marochko; Weidong Cui (MILCOM, 2018)

Argoverse: 3D Tracking and Forecasting With Rich Maps. - Ming-Fang Chang; John Lambert; Patsorn Sangkloy; Jagjeet Singh; Slawomir Bak; Andrew Hartnett; De Wang; Peter Carr 001; Simon Lucey; Deva Ramanan; James Hays (CVPR, 2019)

Adversarial Machine Learning-Industry Perspectives. - Ram Shankar Siva Kumar; Magnus Nyström; John Lambert; Andrew Marshall; Mario Goertzel; Andi Comissoneru; Matt Swann; Sharon Xia (SP (Workshops), 2020)

Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection. - John Lambert; James Hays (NeurIPS Datasets and Benchmarks, 2021)

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. - Benjamin Wilson; William Qi; Tanmay Agarwal; John Lambert; Jagjeet Singh; Siddhesh Khandelwal; Bowen Pan; Ratnesh Kumar; Andrew Hartnett; Jhony Kaesemodel Pontes; Deva Ramanan; Peter Carr 001; et al. (NeurIPS Datasets and Benchmarks, 2021)

SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas. - John Lambert; Yuguang Li; Ivaylo Boyadzhiev; Lambert Wixson; Manjunath Narayana; Will Hutchcroft; James Hays; Frank Dellaert; Sing Bing Kang (ECCV (31), 2022)

Deep learning for building and validating geometric and semantic maps. - John Lambert (2022)

The Waymo Open Sim Agents Challenge. - Nico Montali; John Lambert; Paul Mougin; Alex Kuefler; Nicholas Rhinehart; Michelle Li; Cole Gulino; Tristan Emrich; Zoey Yang; Shimon Whiteson; Brandyn White; Dragomir Anguelov (NeurIPS, 2023)

Distributed Global Structure-from-Motion with a Deep Front-End. - Ayush Baid; John Lambert; Travis Driver; Akshay Krishnan; Hayk Stepanyan; Frank Dellaert (CoRR, 2023)

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. - John Lambert; Zhuang Liu 003; Ozan Sener; James Hays; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout. - Chiyu Max Jiang; Yijing Bai; Andre Cornman; Christopher Davis; Xiukun Huang; Hong Jeon; Sakshum Kulshrestha; John Lambert; Shuangyu Li; Xuanyu Zhou; Carlos Fuertes; Chang Yuan; et al. (NeurIPS, 2024)

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. - Shuhan Tan; John Lambert; Hong Jeon; Sakshum Kulshrestha; Yijing Bai; Jing Luo; Dragomir Anguelov; Mingxing Tan; Chiyu Max Jiang (CVPR, 2025)

Principled Foundations for Preference Optimization. - Wenxuan Zhou; Shujian Zhang; Brice Magdalou; John Lambert; Ehsan Amid; Richard Nock; Andrew Hard (CoRR, 2025)