SpreadStore: A LDPC Erasure Code Scheme for Distributed Storage System. - Subramanyam G. Harihara; Balaji Janakiram; M. Girish Chandra; Aravind Kota Gopalakrishna; Swanand Kadhe; P. Balamuralidhar; B. S. Adiga (DSDE, 2010)

A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage. - Swanand Kadhe; M. Girish Chandra; Balaji Janakiram (COMAD, 2013)

On electrical load disaggregation using factor graphs. - Y. G. Goutam; M. Girish Chandra; Krishnan Srinivasarengan; Swanand Kadhe (ICACCI, 2013)

A Framework for Non Intrusive Load Monitoring Using Bayesian Inference. - Krishnan Srinivasarengan; Y. G. Goutam; M. Girish Chandra; Swanand Kadhe (IMIS, 2013)

On a weakly secure regenerating code construction for minimum storage regime. - Swanand Kadhe; Alex Sprintson (Allerton, 2014)

Reliable, deniable, and hidable communication over multipath networks. - Swanand Kadhe; Sidharth Jaggi; Mayank Bakshi; Alex Sprintson (ISIT, 2014)

Reliable, deniable and hidable communication: A quick survey. - Pak Hou Che; Swanand Kadhe; Mayank Bakshi; Chung Chan; Sidharth Jaggi; Alex Sprintson (ITW, 2014)

Weakly secure regenerating codes for distributed storage. - Swanand Kadhe; Alex Sprintson (NetCod, 2014)

Reliable and secure communication over adversarial multipath networks: A survey. - Swanand Kadhe; Alex Sprintson; Qiaosheng Eric Zhang; Mayank Bakshi; Sidharth Jaggi (ICICS, 2015)

When do the availability codes make the stored data more available? - Swanand Kadhe; Emina Soljanin; Alex Sprintson (Allerton, 2015)

Analyzing the download time of availability codes. - Swanand Kadhe; Emina Soljanin; Alex Sprintson (ISIT, 2015)

Coding against a limited-view adversary: The effect of causality and feedback. - Qiaosheng Eric Zhang; Swanand Kadhe; Mayank Bakshi; Sidharth Jaggi; Alex Sprintson (ISIT, 2015)

Talking reliably, secretly, and efficiently: A "complete" characterization. - Qiaosheng Eric Zhang; Swanand Kadhe; Mayank Bakshi; Sidharth Jaggi; Alex Sprintson (ITW, 2015)

Successive omniscience. - Chung Chan; Ali Al-Bashabsheh; Javad B. Ebrahimi; Tarik Kaced; Swanand Kadhe; Tie Liu 002; Alex Sprintson; Muxi Yan; Qiaoqiao Zhou (NetCod, 2015)

Rank-metric codes with local recoverability. - Swanand Kadhe; Salim Y. El Rouayheb; Iwan M. Duursma; Alex Sprintson (Allerton, 2016)

Codes with unequal locality. - Swanand Kadhe; Alex Sprintson (ISIT, 2016)

On the service capacity region of accessing erasure coded content. - Mehmet S. Aktas; Sarah E. Anderson; Ann Johnston; Gauri Joshi; Swanand Kadhe; Gretchen L. Matthews; Carolyn Mayer; Emina Soljanin (Allerton, 2017)

Private information retrieval with side information: The single server case. - Swanand Kadhe; Brenden Garcia; Anoosheh Heidarzadeh; Salim Y. El Rouayheb; Alex Sprintson (Allerton, 2017)

Universally weakly secure coset coding schemes for minimum storage regenerating (MSR) codes. - Swanand Kadhe; Alex Sprintson (Allerton, 2017)

Rate optimal binary linear locally repairable codes with small availability. - Swanand Kadhe; A. Robert Calderbank (ISIT, 2017)

Security for minimum storage regenerating codes and locally repairable codes. - Swanand Kadhe; Alex Sprintson (ISIT, 2017)

On the Capacity of Single-Server Multi-Message Private Information Retrieval with Side Information. - Anoosheh Heidarzadeh; Brenden Garcia; Swanand Kadhe; Salim Y. El Rouayheb; Alex Sprintson (Allerton, 2018)

Synthesis of Logical Clifford Operators via Symplectic Geometry. - Narayanan Rengaswamy; A. Robert Calderbank; Henry D. Pfister; Swanand Kadhe (ISIT, 2018)

Multipath Stealth Communication with Jammers. - Jianhan Song; Qiaosheng Eric Zhang; Mayank Bakshi; Sidharth Jaggi; Swanand Kadhe (ISIT, 2018)

Single-Server Multi-Message Individually-Private Information Retrieval with Side Information. - Anoosheh Heidarzadeh; Swanand Kadhe; Salim Y. El Rouayheb; Alex Sprintson (ISIT, 2019)

Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers. - Swanand Kadhe; Onur Ozan Koyluoglu; Kannan Ramchandran (ISIT, 2019)

Low-degree Pseudo-Boolean Function Recovery Using Codes. - Orhan Ocal; Swanand Kadhe; Kannan Ramchandran (ISIT, 2019)

On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes. - Swanand Kadhe; Anoosheh Heidarzadeh; Alex Sprintson; Onur Ozan Koyluoglu (ITW, 2019)

SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains. - Swanand Kadhe; Jichan Chung; Kannan Ramchandran (CoRR, 2019)

Logical Clifford Synthesis for Stabilizer Codes. - Narayanan Rengaswamy; A. Robert Calderbank; Swanand Kadhe; Henry D. Pfister (CoRR, 2019)

Analyzing the Download Time of Availability Codes. - Mehmet Fatih Aktas; Swanand Kadhe; Emina Soljanin; Alex Sprintson (CoRR, 2019)

Codes With Locality in the Rank and Subspace Metrics. - Swanand Kadhe; Salim Y. El Rouayheb; Iwan M. Duursma; Alex Sprintson (IEEE Trans. Inf. Theory, 2019)

OverSketched Newton: Fast Convex Optimization for Serverless Systems. - Vipul Gupta; Swanand Kadhe; Thomas A. Courtade; Michael W. Mahoney; Kannan Ramchandran (IEEE BigData, 2020)

CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains. - Steven Cao; Swanand Kadhe; Kannan Ramchandran (Blockchain, 2020)

Communication Efficient and Byzantine Tolerant Distributed Learning. - Avishek Ghosh; Raj Kumar Maity; Swanand Kadhe; Arya Mazumdar; Kannan Ramchandran (ISIT, 2020)

Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning. - Swanand Kadhe; Onur Ozan Koyluoglu; Kannan Ramchandran (ISIT, 2020)

Communication-Efficient and Byzantine-Robust Distributed Learning. - Avishek Ghosh; Raj Kumar Maity; Swanand Kadhe; Arya Mazumdar; Kannan Ramchandran (ITA, 2020)

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning. - Swanand Kadhe; Nived Rajaraman; Onur Ozan Koyluoglu; Kannan Ramchandran (CoRR, 2020)

Stealthy Communication Over Adversarially Jammed Multipath Networks. - Jianhan Song; Qiaosheng Eric Zhang; Swanand Kadhe; Mayank Bakshi; Sidharth Jaggi (IEEE Trans. Commun., 2020)

Private Information Retrieval With Side Information. - Swanand Kadhe; Brenden Garcia; Anoosheh Heidarzadeh; Salim Y. El Rouayheb; Alex Sprintson (IEEE Trans. Inf. Theory, 2020)

FastShare: Scalable Secret Sharing by Leveraging Locality. - Swanand Kadhe; Nived Rajaraman; Kannan Ramchandran (ISIT, 2021)

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. - Divyansh Jhunjhunwala; Ankur Mallick; Advait Gadhikar; Swanand Kadhe; Gauri Joshi (NeurIPS, 2021)

Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. - Avishek Ghosh; Raj Kumar Maity; Swanand Kadhe; Arya Mazumdar; Kannan Ramchandran (IEEE J. Sel. Areas Inf. Theory, 2021)

Single-Server Private Information Retrieval Schemes are Equivalent to Locally Recoverable Coding Schemes. - Swanand Kadhe; Anoosheh Heidarzadeh; Alex Sprintson; Onur Ozan Koyluoglu (IEEE J. Sel. Areas Inf. Theory, 2021)

Download Time Analysis for Distributed Storage Codes With Locality and Availability. - Mehmet Fatih Aktas; Swanand Kadhe; Emina Soljanin; Alex Sprintson (IEEE Trans. Commun., 2021)

Service Rate Region: A New Aspect of Coded Distributed System Design. - Mehmet S. Aktas; Gauri Joshi; Swanand Kadhe; Fatemeh Kazemi; Emina Soljanin (IEEE Trans. Inf. Theory, 2021)

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; Swanand Kadhe; Heiko Ludwig (CLOUD, 2022)

Robust Learning Protocol for Federated Tumor Segmentation Challenge. - Ambrish Rawat; Giulio Zizzo; Swanand Kadhe; Jonathan P. Epperlein; Stefano Braghin (BrainLes@MICCAI (2), 2022)

Federated Unlearning: How to Efficiently Erase a Client in FL? - Anisa Halimi; Swanand Kadhe; Ambrish Rawat; Nathalie Baracaldo (CoRR, 2022)

LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. - Timothy Castiglia; Yi Zhou 015; Shiqiang Wang 001; Swanand Kadhe; Nathalie Baracaldo; Stacy Patterson (ICML, 2023)

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. - Nathalie Baracaldo; Farhan Ahmed; Kevin Eykholt; Yi Zhou 015; Shriti Priya; Taesung Lee; Swanand Kadhe; Mike Tan; Sridevi Polavaram; Sterling Suggs; Yuyang Gao; David Slater (SP (Workshops), 2023)

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. - Swanand Ravindra Kadhe; Heiko Ludwig; Nathalie Baracaldo; Alan King; Yi Zhou 015; Keith Houck; Ambrish Rawat; Mark Purcell; Naoise Holohan; Mikio Takeuchi; Ryo Kawahara; Nir Drucker; et al. (CoRR, 2023)

Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks. - Shuli Jiang; Swanand Ravindra Kadhe; Yi Zhou 015; Ling Cai; Nathalie Baracaldo (CoRR, 2023)

FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs. - Swanand Ravindra Kadhe; Anisa Halimi; Ambrish Rawat; Nathalie Baracaldo (CoRR, 2023)

Minimum-Rate Spectrum-Blind Sampling Based on Sparse-Graph Codes. - Orhan Öçal; Swanand Kadhe; Xiao Li 022; Kannan Ramchandran (IEEE Trans. Signal Process., 2023)

Optimal Information Security Against Limited-View Adversaries: Beyond MDS Codes. - Qiaosheng Eric Zhang; Swanand Kadhe; Mayank Bakshi; Sidharth Jaggi; Alex Sprintson (IEEE Trans. Commun., 2023)

Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs. - Swanand Ravindra Kadhe; Farhan Ahmed; Dennis Wei; Nathalie Baracaldo; Inkit Padhi (CoRR, 2024)

Turning Generative Models Degenerate: The Power of Data Poisoning Attacks. - Shuli Jiang; Swanand Ravindra Kadhe; Yi Zhou 015; Farhan Ahmed; Ling Cai; Nathalie Baracaldo (CoRR, 2024)

Towards a Re-evaluation of Data Forging Attacks in Practice. - Mohamed Suliman 002; Anisa Halimi; Swanand Kadhe; Nathalie Baracaldo; Douglas J. Leith (CoRR, 2024)

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. - Ivoline C. Ngong; Swanand Ravindra Kadhe; Hao Wang 063; Keerthiram Murugesan; Justin D. Weisz; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy (ACL (Findings), 2025)

GneissWeb: Preparing High Quality Data for LLMs at Scale. - Hajar Emami-Gohari; Swanand Ravindra Kadhe; Syed Yousaf Shah; Constantin Adam; Abdulhamid Adebayo; Praneet Adusumilli; Farhan Ahmed; Nathalie Baracaldo Angel; Santosh Borse; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; et al. (CoRR, 2025)

SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging. - Aladin Djuhera; Swanand Ravindra Kadhe; Farhan Ahmed; Syed Zawad; Holger Boche (CoRR, 2025)

SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models? - Aladin Djuhera; Swanand Ravindra Kadhe; Farhan Ahmed; Syed Zawad; Holger Boche; Walid Saad (CoRR, 2025)

Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance. - Aladin Djuhera; Swanand Ravindra Kadhe; Syed Zawad; Farhan Ahmed; Heiko Ludwig; Holger Boche (CoRR, 2025)

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble. - Zhiqi Wang; Chengyu Zhang; Yuetian Chen; Nathalie Baracaldo; Swanand Kadhe; Lei Yu (CoRR, 2025)

Evaluating the Dynamics of Membership Privacy in Deep Learning. - Yuetian Chen; Zhiqi Wang; Nathalie Baracaldo; Swanand Ravindra Kadhe; Lei Yu (CoRR, 2025)

Optimal Information Security Against Limited-View Adversaries: The Benefits of Causality and Feedback. - Mayank Bakshi; Swanand Kadhe; Qiaosheng Eric Zhang; Sidharth Jaggi; Alex Sprintson (IEEE Trans. Commun., 2025)