Mahloujifar, Saeed

30 publications

ICML 2025 Auditing $f$-Differential Privacy in One Run Saeed Mahloujifar, Luca Melis, Kamalika Chaudhuri

ICLRW 2025 Detecting Benchmark Contamination Through Watermarking Tom Sander, Pierre Fernandez, Saeed Mahloujifar, Alain Oliviero Durmus, Chuan Guo

TMLR 2025 Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

TMLR 2025 Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu

ICML 2024 A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal

TMLR 2024 Guarantees of Confidentiality via Hammersley-Chapman-Robbins Bounds Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

ICMLW 2024 Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

NeurIPS 2023 A Randomized Approach to Tight Privacy Accounting Jiachen Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal

NeurIPS 2023 Bounding Training Data Reconstruction in DP-SGD Jamie Hayes, Borja Balle, Saeed Mahloujifar

ICMLW 2023 Differentially Private Generation of High Fidelity Samples from Diffusion Models Vikash Sehwag, Ashwinee Panda, Ashwini Pokle, Xinyu Tang, Saeed Mahloujifar, Mung Chiang, J Zico Kolter, Prateek Mittal

ICML 2023 Effectively Using Public Data in Privacy Preserving Machine Learning Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr

ICMLW 2023 Machine Learning with Feature Differential Privacy Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri

ICML 2023 MultiRobustBench: Benchmarking Robustness Against Multiple Attacks Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal

ICLR 2023 Revisiting the Assumption of Latent Separability for Backdoor Defenses Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal

ICML 2023 Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal

AISTATS 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal

NeurIPS 2022 Formulating Robustness Against Unforeseen Attacks Sihui Dai, Saeed Mahloujifar, Prateek Mittal

NeurIPS 2022 Overparameterization from Computational Constraints Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang

NeurIPS 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal

ICLR 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

NeurIPSW 2021 A Novel Self-Distillation Architecture to Defeat Membership Inference Attacks Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal

NeurIPS 2021 A Separation Result Between Data-Oblivious and Data-Aware Poisoning Attacks Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta

ICML 2021 Model-Targeted Poisoning Attacks with Provable Convergence Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian

ALT 2020 Adversarially Robust Learning Could Leverage Computational Hardness. Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mahmoody Mohammad

ALT 2019 Can Adversarially Robust Learning LeverageComputational Hardness? Saeed Mahloujifar, Mohammad Mahmoody

NeurIPS 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans

AAAI 2019 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody

ICML 2019 Universal Multi-Party Poisoning Attacks Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed

NeurIPS 2018 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios Diochnos, Saeed Mahloujifar, Mohammad Mahmoody

ALT 2018 Learning Under $p$-Tampering Attacks Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody