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Nils Lukas

Analyzing Leakage of Personally Identifiable Information in Language Models
2023 · Nils Lukas, Ahmed Salem, et al. · IEEE Symposium on Security and Privacy (S&P) · 162
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On the Robustness of Backdoor-based Watermarking in Deep Neural Networks
2021 · Masoumeh Shafieinejad, Nils Lukas, et al. · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 98
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Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
2019 · Lukas, Nils, Zhang, Yuxuan, et al. · arXiv (Cornell University) · 96
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SoK: How Robust is Image Classification Deep Neural Network Watermarking?
2022 · Nils Lukas, Edward Jiang, et al. · IEEE Symposium on Security and Privacy (S&P) · 81
Differentially Private Two-Party Set Operations
2020 · Bailey Kacsmar, Basit Khurram, et al. · IEEE European Symposium on Security and Privacy · 22
Practical Over-Threshold Multi-Party Private Set Intersection
2020 · Rasoul Akhavan Mahdavi, Thomas Humphries, et al. · Annual Computer Security Applications Conference · 21
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
2023 · Lukas, Nils, Kerschbaum, Florian · arXiv (Cornell University) · 6
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SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
2021 · Lukas, Nils, Jiang, Edward, et al. · arXiv (Cornell University) · 6
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Mask Image Watermarking
2025 · Runyi Hu, Jie Zhang, et al. · neural information processing systems · 5
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SPIRIT: Patching Speech Language Models against Jailbreak Attacks
2025 · Amirbek Djanibekov, Nurdaulet Mukhituly, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
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Privacy-Preserving Machine Learning [Cryptography]
2023 · Florian Kerschbaum, Nils Lukas · IEEE Security & Privacy · 3
Optimizing Adaptive Attacks against Watermarks for Language Models
2024 · Diaa, Abdulrahman, Aremu, Toluwani, et al. · arXiv (Cornell University) · 2
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Universal Backdoor Attacks
2023 · Schneider, Benjamin, Lukas, Nils, et al. · arXiv (Cornell University) · 2
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PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting
2023 · Mahdavi, Rasoul Akhavan, Lukas, Nils, et al. · arXiv (Cornell University) · 2
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Leveraging Optimization for Adaptive Attacks on Image Watermarks
2023 · Lukas, Nils, Diaa, Abdulrahman, et al. · arXiv (Cornell University) · 2
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Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
2023 · Diaa, Abdulrahman, Fenaux, Lucas, et al. · arXiv (Cornell University) · 1
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Tricking Synthetic Image Detectors with Amortized Generative Attacks
2026 · Awad, Mohamed, Elhady, Khaled, et al. · arXiv (Cornell University)
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Selection Is Not Learning: Choosing Model Futures
2026 · Yang, Haoyi, Mishra, Kshitij, et al. · arXiv (Cornell University)
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PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents
2026 · Mishra, Kshitij, Sharma, Abhijith, et al. · arXiv (Cornell University)
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Constitution-Guided Watermarking
2026 · Aremu, Toluwani, Poppi, Samuele, et al. · arXiv (Cornell University)
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AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
2026 · Hashmi, Sarim, Ranjan, Mukul, et al. · arXiv (Cornell University)
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Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering
2026 · Hashmi, Sarim, Ranjan, Mukul, et al. · arXiv (Cornell University)
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Certification of Real Images through Calibrated Content Authentication
2026 · Hashmi, Sarim, Elsayed, Abdelrahman, et al. · arXiv (Cornell University)
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The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs
2026 · Aremu, Toluwani, Baser, Manit, et al. · arXiv (Cornell University)
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PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity
2026 · Waseem, Muhammad, Tastan, Nurbek, et al. · arXiv (Cornell University)
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Works count: 39
Citation count: 512
H-index: 6
I10-index: 6
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