Fatemehsadat Mireshghallah
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. | Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim |
| 2023 | ACL | Membership Inference Attacks against Language Models via Neighbourhood Comparison. | Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schlkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick |
| 2023 | ACL | Privacy-Preserving Domain Adaptation of Semantic Parsers. | Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin |
| 2023 | CoNLL | A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. | Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
| 2022 | ACL | Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. | Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. | Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri |
| 2022 | EMNLP | An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. | Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick |
| 2022 | NAACL | UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. | Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis |
| 2021 | EMNLP | Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. | Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick |
| 2021 | ICIP | U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. | Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis |
| 2021 | NAACL | Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. | Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rhle, Taylor Berg-Kirkpatrick, Robert Sim |
| 2021 | WWW | Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. | Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh |
| 2020 | ASPLOS | Shredder: Learning Noise Distributions to Protect Inference Privacy. | Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Ali Jalali, Dean M. Tullsen, Hadi Esmaeilzadeh |
| 2020 | CCS | Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy. | Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask |