2024
Masked Differential Privacy.
CoRR, 2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models.
CoRR, 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget.
CoRR, 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.
CoRR, 2024
Evaluating and Mitigating IP Infringement in Visual Generative AI.
CoRR, 2024
AI Risk Management Should Incorporate Both Safety and Security.
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CoRR, 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Promises and Pitfalls of Generative AI: An AI-Safety Centric Approach
PhD thesis, 2023
Scaling Compute Is Not All You Need for Adversarial Robustness.
CoRR, 2023
Extracting Training Data from Diffusion Models.
Proceedings of the 32nd USENIX Security Symposium, 2023
A Light Recipe to Train Robust Vision Transformers.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Differentially Private Image Classification by Learning Priors from Random Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Uncovering Adversarial Risks of Test-Time Adaptation.
Proceedings of the International Conference on Machine Learning, 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks.
Proceedings of the International Conference on Machine Learning, 2023
2022
DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning.
CoRR, 2022
Understanding Robust Learning through the Lens of Representation Similarities.
CoRR, 2022
Understanding Robust Learning through the Lens of Representation Similarities.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Proceedings of the Tenth International Conference on Learning Representations, 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation.
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022
2021
Fast-Convergent Federated Learning.
IEEE J. Sel. Areas Commun., 2021
Embedding delay-based physical unclonable functions in networks-on-chip.
IET Circuits Devices Syst., 2021
Improving Adversarial Robustness Using Proxy Distributions.
CoRR, 2021
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking.
Proceedings of the 30th USENIX Security Symposium, 2021
RobustBench: a standardized adversarial robustness benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Beyond $L_{p}$ Norms: Delving Deeper into Robustness to Physical Image Transformations.
Proceedings of the 2021 IEEE Military Communications Conference, 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries.
Proceedings of the 38th International Conference on Machine Learning, 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
RobustBench: a standardized adversarial robustness benchmark.
CoRR, 2020
A Critical Evaluation of Open-World Machine Learning.
CoRR, 2020
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks.
CoRR, 2020
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields.
CoRR, 2020
On Pruning Adversarially Robust Neural Networks.
CoRR, 2020
HYDRA: Pruning Adversarially Robust Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Towards Compact and Robust Deep Neural Networks.
CoRR, 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples.
CoRR, 2019
Analyzing the Robustness of Open-World Machine Learning.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019
2018
A Parallel Stochastic Number Generator With Bit Permutation Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2018
Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2016
TV-PUF : A Fast Lightweight Aging-Resistant Threshold Voltage PUF.
IACR Cryptol. ePrint Arch., 2016
TV-PUF: A Fast Lightweight Analog Physical Unclonable Function.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016
Variation Aware Performance Analysis of TFETs for Low-Voltage Computing.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016
2015
Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons.
CoRR, 2015