Nathalie Baracaldo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
19
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NDSS | In-Context Probing for Membership Inference in Fine-Tuned Language Models. | Zhexi Lu, Hongliang Chi, Nathalie Baracaldo, Swanand Ravindra Kadhe, Yuseok Jeon, Lei Yu |
| 2025 | CCS | Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble. | Zhiqi Wang, Chengyu Zhang, Yuetian Chen, Nathalie Baracaldo, Swanand Ravindra Kadhe, Lei Yu |
| 2025 | EMNLP | Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills. | Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu |
| 2025 | ICLR | MAP: Multi-Human-Value Alignment Palette. | Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar |
| 2025 | ICML | Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning. | Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | AISTATS | Enhancing In-context Learning via Linear Probe Calibration. | Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2023 | CCGRID | HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. | Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan |
| 2023 | ICLR | Single-shot General Hyper-parameter Optimization for Federated Learning. | Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig |
| 2023 | ICML | LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. | Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson |
| 2023 | SP | Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. | Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | SACMAT | Keynote Talk - Federated Learning: The Hype, State-of-the-Art and Open Challenges. | Nathalie Baracaldo |
| 2021 | AAAI | Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. | Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan |
| 2021 | CCS | FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. | Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig |
| 2021 | IUI | The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. | Zahra Ashktorab, Casey Dugan, James Johnson, Aabhas Sharma, Dustin Ramsey Torres, Ingrid Lange, Benjamin Hoover, Heiko Ludwig, Bryant Chen, Nathalie Baracaldo, Werner Geyer, Qian Pan |
| 2020 | HPDC | TiFL: A Tier-based Federated Learning System. | Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng |
| 2019 | AAAI | Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. | Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava |
| 2019 | CaiSE | User-Centered and Privacy-Driven Process Mining System Design for IoT. | Judith Michael, Agnes Koschmider, Felix Mannhardt, Nathalie Baracaldo, Bernhard Rumpe |
| 2019 | CCS | A Hybrid Approach to Privacy-Preserving Federated Learning. | Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou |
| 2019 | CCS | HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. | Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig |
| 2017 | CCS | Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. | Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi |
| 2016 | ICSOC | Securing Data Provenance in Internet of Things (IoT) Systems. | Nathalie Baracaldo, Luis Angel D. Bathen, Roqeeb O. Ozugha, Robert Engel, Samir Tata, Heiko Ludwig |
| 2016 | ICSOC | Data Provenance Model for Internet of Things (IoT) Systems. | Habeeb Olufowobi, Robert Engel, Nathalie Baracaldo, Luis Angel D. Bathen, Samir Tata, Heiko Ludwig |
| 2016 | WETICE | Managing Service Quality at the Platform and Application Levels with rSLa. | Samir Tata, Mohamed Mohamed, Obinna Anya, Takashi Sakairi, NagaPramod Mandagere, Heiko Ludwig, Nathalie Baracaldo |
| 2014 | CCS | Reconciling End-to-End Confidentiality and Data Reduction In Cloud Storage. | Nathalie Baracaldo, Elli Androulaki, Joseph S. Glider, Alessandro Sorniotti |
| 2014 | IRI | IEEE IRI 2014 invited industry talks (I): Managing shared information in multi-tenant service provider applications. | Heiko Ludwig, Nathalie Baracaldo, Nish Parikh, Tanvir Ahmed, Rajesh Subramanyan |
| 2014 | NSS | Geo-Social-RBAC: A Location-Based Socially Aware Access Control Framework. | Nathalie Baracaldo, Balaji Palanisamy, James B. D. Joshi |
| 2013 | SACMAT | Beyond accountability: using obligations to reduce risk exposure and deter insider attacks. | Nathalie Baracaldo, James Joshi |
| 2012 | SACMAT | A trust-and-risk aware RBAC framework: tackling insider threat. | Nathalie Baracaldo, James Joshi |
| 2011 | IRI | Simulating the effect of privacy concerns in online social networks. | Nathalie Baracaldo, Claudia A. Lpez, Mohd Anwar, Michael Lewis |
| 2011 | NSS | A secure, constraint-aware role-based access control interoperation framework. | Nathalie Baracaldo, Amirreza Masoumzadeh, James Joshi |