Saeed Mahloujifar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
12
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCS | SecAlign: Defending Against Prompt Injection with Preference Optimization. | Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo |
| 2025 | ICML | Auditing $f$-differential privacy in one run. | Saeed Mahloujifar, Luca Melis, Kamalika Chaudhuri |
| 2025 | SP | Machine Learning with Privacy for Protected Attributes. | Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri |
| 2024 | ICML | A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization. | Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal |
| 2024 | NSDI | Horus: Granular In-Network Task Scheduler for Cloud Datacenters. | Parham Yassini, Khaled Diab, Saeed Mahloujifar, Mohamed Hefeeda |
| 2023 | CCS | Experimenting with Zero-Knowledge Proofs of Training. | Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi Policharla, Mingyuan Wang |
| 2023 | ICLR | Revisiting the Assumption of Latent Separability for Backdoor Defenses. | Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal |
| 2023 | ICML | MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. | Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal |
| 2023 | ICML | Effectively Using Public Data in Privacy Preserving Machine Learning. | Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr |
| 2023 | ICML | Uncovering Adversarial Risks of Test-Time Adaptation. | Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal |
| 2023 | SP | ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. | Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal |
| 2022 | AISTATS | SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. | Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal |
| 2022 | CCS | Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. | Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal |
| 2022 | ICLR | 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 |
| 2022 | SP | Parameterizing Activation Functions for Adversarial Robustness. | Sihui Dai, Saeed Mahloujifar, Prateek Mittal |
| 2022 | SP | Property Inference from Poisoning. | Saeed Mahloujifar, Esha Ghosh, Melissa Chase |
| 2021 | ICML | Model-Targeted Poisoning Attacks with Provable Convergence. | Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian |
| 2021 | SP | Is Private Learning Possible with Instance Encoding? | Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta, Florian Tramr |
| 2021 | TCC | Polynomial-Time Targeted Attacks on Coin Tossing for Any Number of Corruptions. | Omid Etesami, Ji Gao, Saeed Mahloujifar, Mohammad Mahmoody |
| 2020 | ALT | Adversarially Robust Learning Could Leverage Computational Hardness. | Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody |
| 2020 | ICMLA | Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid Attacks. | Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody |
| 2020 | ISAIM | Lower Bounds for Adversarially Robust PAC Learning. | Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody |
| 2020 | SODA | Computational Concentration of Measure: Optimal Bounds, Reductions, and More. | Omid Etesami, Saeed Mahloujifar, Mohammad Mahmoody |
| 2019 | AAAI | The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. | Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody |
| 2019 | ALT | Can Adversarially Robust Learning LeverageComputational Hardness? | Saeed Mahloujifar, Mohammad Mahmoody |
| 2019 | ICML | Data Poisoning Attacks in Multi-Party Learning. | Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed |
| 2018 | ALT | Learning under $p$-Tampering Attacks. | Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody |
| 2018 | ISAIM | Learning under p-Tampering Attacks. | Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody |
| 2017 | TCC | Blockwise p-Tampering Attacks on Cryptographic Primitives, Extractors, and Learners. | Saeed Mahloujifar, Mohammad Mahmoody |