| 2026 | AAAI | Robust Watermarking on Gradient Boosting Decision Trees. | Jun Woo Chung, Yingjie Lao, Weijie Zhao |
| 2026 | EACL | SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. | Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan |
| 2026 | WACV | UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks. | Bingyin Zhao, Yingjie Lao |
| 2025 | ACSSC | RECAPHE: REconfigurable Polynomial Modular Computation Architectures for Unified PQC and HE Schemes. | Antian Wang, Kaiyuan Zhang, Keshab K. Parhi, Yingjie Lao |
| 2025 | CVPR | UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models. | Yuning Han, Bingyin Zhao, Rui Chu, Feng Luo, Biplab Sikdar, Yingjie Lao |
| 2025 | CVPR | Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack. | Nicole Meng, Caleb Manicke, Ronak Sahu, Caiwen Ding, Yingjie Lao |
| 2025 | FPGA | HEDWIG: Homomorphic Encryption Accelerator Design Using BFV-HPS With HiGh-Speed Fixed-Point Approximation. | Antian Wang, Weihang Tan, Zhenyu Xu, Tao Wei, Caiwen Ding, Keshab K. Parhi, Yingjie Lao |
| 2024 | AAAI | Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment. | Joseph Clements, Yingjie Lao |
| 2024 | ACSSC | Hardware Acceleration for Fully Homomorphic Encryption Scheme Switching from CKKS to FHEW. | Kaiyuan Zhang, Antian Wang, Keshab K. Parhi, Yingjie Lao |
| 2024 | ICCAD | HERMES: Homomorphic Encryption over Residual Number System for Multi-level EvaluationS. | Antian Wang, Kaiyuan Zhang, Keshab K. Parhi, Yingjie Lao |
| 2024 | ICLR | Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. | Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan |
| 2024 | ISCAS | Area-Efficient Matrix-Vector Polynomial Multiplication Architecture for ML-KEM Using Interleaving and Folding Transformation. | Weihang Tan, Yingjie Lao, Keshab K. Parhi |
| 2023 | AAAI | Defending Backdoor Attacks on Vision Transformer via Patch Processing. | Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li |
| 2023 | ACSSC | Homomorphic Evaluation Friendly Vision Transformer Design. | Antian Wang, Yingjie Lao |
| 2023 | DAC | NNTesting: Neural Network Fault Attacks Detection Using Gradient-Based Test Vector Generation. | Antian Wang, Bingyin Zhao, Weihang Tan, Yingjie Lao |
| 2023 | ICCAD | KyberMat: Efficient Accelerator for Matrix-Vector Polynomial Multiplication in CRYSTALS-Kyber Scheme via NTT and Polyphase Decomposition. | Weihang Tan, Yingjie Lao, Keshab K. Parhi |
| 2023 | ICCV | Fully Attentional Networks with Self-emerging Token Labeling. | Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jos M. lvarez |
| 2023 | KDD | Machine Unlearning in Gradient Boosting Decision Trees. | Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao |
| 2022 | AAAI | DeepHardMark: Towards Watermarking Neural Network Hardware. | Joseph Clements, Yingjie Lao |
| 2022 | AAAI | DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. | Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li |
| 2022 | AAAI | CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. | Bingyin Zhao, Yingjie Lao |
| 2022 | ICASSP | In Pursuit of Preserving the Fidelity of Adversarial Images. | Joseph Clements, Yingjie Lao |
| 2022 | ICDE | Identification for Deep Neural Network: Simply Adjusting Few Weights! | Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li |
| 2022 | ICIP | Towards Model Quantization on the Resilience Against Membership Inference Attacks. | Charles Kowalski, Azadeh Famili, Yingjie Lao |
| 2022 | ICPR | Genetic-based Joint Dynamic Pruning and Learning Algorithm to Boost DNN Performance. | Azadeh Famili, Yingjie Lao |
| 2022 | KDD | Integrity Authentication in Tree Models. | Weijie Zhao, Yingjie Lao, Ping Li |
| 2022 | WACV | Towards Class-Oriented Poisoning Attacks Against Neural Networks. | Bingyin Zhao, Yingjie Lao |
| 2021 | ICCV | LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. | Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li |
| 2021 | ICCV | Robust Watermarking for Deep Neural Networks via Bi-level Optimization. | Peng Yang, Yingjie Lao, Ping Li |
| 2019 | ISCAS | Hardware Trojan Design on Neural Networks. | Joseph Clements, Yingjie Lao |
| 2019 | ISCAS | Hardware Obfuscation Through Reconfiguration Finite Field Arithmetic Units. | Ankur A Sharma, Xinmiao Zhang, Yingjie Lao |
| 2018 | ISCAS | A Systematic Method for Approximate Circuit Design Using Feature Selection. | Ling Qiu, Yingjie Lao |
| 2018 | ISCAS | PUF Modeling Attack using Active Learning. | Yuejiang Wen, Yingjie Lao |
| 2017 | ISCAS | Enhancing PUF reliability by machine learning. | Yuejiang Wen, Yingjie Lao |
| 2016 | DATE | Estimating delay differences of arbiter PUFs using silicon data. | S. V. Sandeep Avvaru, Chen Zhou, Saroj Satapathy, Yingjie Lao, Chris H. Kim, Keshab K. Parhi |
| 2016 | ISLPED | Soft Response Generation and Thresholding Strategies for Linear and Feed-Forward MUX PUFs. | Chen Zhou, Saroj Satapathy, Yingjie Lao, Keshab K. Parhi, Chris H. Kim |
| 2015 | ACSSC | Canonic real-valued radix-2n FFT computations. | Yingjie Lao, Keshab K. Parhi |
| 2015 | ICASSP | An obfuscated radix-2 real FFT architecture. | Goutham N. C. Shanmugam, Yingjie Lao, Keshab K. Parhi |
| 2014 | ACSSC | Canonic real-valued FFT structures. | Megha Parhi, Yingjie Lao, Keshab K. Parhi |
| 2014 | ISCAS | Protecting DSP circuits through obfuscation. | Yingjie Lao, Keshab K. Parhi |