Swanand Ravindra Kadhe

17 papers A* 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropy-Aware On-Policy Distillation of Language Models. CoRR Woogyeol Jin, Taywon Min, Yongjin Yang, Swanand Ravindra Kadhe, Yi Zhou, Dennis Wei, Nathalie Baracaldo, Kimin Lee
2026	J	`jnl`	TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents. CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Heiko Ludwig, Holger Boche
2025	J	`jnl`	Evaluating the Dynamics of Membership Privacy in Deep Learning. CoRR Yuetian Chen, Zhiqi Wang, Nathalie Baracaldo, Swanand Ravindra Kadhe, Lei Yu
2025	J	`jnl`	Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance. CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Syed Zawad, Farhan Ahmed, Heiko Ludwig, Holger Boche
2025	J	`jnl`	GneissWeb: Preparing High Quality Data for LLMs at Scale. CoRR 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, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee
2025	J	`jnl`	In-Context Probing for Membership Inference in Fine-Tuned Language Models. CoRR Zhexi Lu, Hongliang Chi, Nathalie Baracaldo, Swanand Ravindra Kadhe, Yuseok Jeon, Lei Yu
2025	A*	`conf`	Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble. CCS Zhiqi Wang, Chengyu Zhang, Yuetian Chen, Nathalie Baracaldo, Swanand Ravindra Kadhe, Lei Yu
2025	—	`conf`	Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. ACL (Findings) Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025	J	`jnl`	SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models? CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad
2025	J	`jnl`	SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging. CoRR Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche
2025	A*	`conf`	Towards a Re-evaluation of Data Forging Attacks in Practice. USENIX Security Symposium Mohamed Suliman, Anisa Halimi, Swanand Ravindra Kadhe, Nathalie Baracaldo, Douglas J. Leith
2025	J	`jnl`	When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets. CoRR Aladin Djuhera, Farhan Ahmed, Swanand Ravindra Kadhe, Syed Zawad, Heiko Ludwig, Holger Boche
2024	J	`jnl`	Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs. CoRR Swanand Ravindra Kadhe, Farhan Ahmed, Dennis Wei, Nathalie Baracaldo, Inkit Padhi
2024	J	`jnl`	Turning Generative Models Degenerate: The Power of Data Poisoning Attacks. CoRR Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai, Nathalie Baracaldo
2023	J	`jnl`	FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs. CoRR Swanand Ravindra Kadhe, Anisa Halimi, Ambrish Rawat, Nathalie Baracaldo
2023	J	`jnl`	Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks. CoRR Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo
2023	J	`jnl`	Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu