Vasisht Duddu - RankMe

41 papers A* 3A 1C 2Misc 1Journal 26Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PAL*M: Property Attestation for Large Generative Models. CoRR Prach Chantasantitam, Adam Ilyas Caulfield, Vasisht Duddu, Lachlan J. Gunn, N. Asokan
2026	—	`conf`	PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing. EACL (Findings) Anthony Hughes, Vasisht Duddu, N. Asokan, Nikolaos Aletras, Ning Ma
2025	J	`jnl`	Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks. CoRR Asim Waheed, Vasisht Duddu, Rui Zhang, Sebastian Szyller, N. Asokan
2025	J	`jnl`	Combining Machine Learning Defenses without Conflicts. Trans. Mach. Learn. Res. Vasisht Duddu, Rui Zhang, N. Asokan
2025	—	`conf`	Espresso: Robust Concept Filtering in Text-to-Image Models. CODASPY Anudeep Das, Vasisht Duddu, Rui Zhang, N. Asokan
2025	—	`conf`	Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations. CODASPY Vasisht Duddu, Lachlan J. Gunn, N. Asokan
2025	J	`jnl`	Locket: Robust Feature-Locking Technique for Language Models. CoRR Lipeng He, Vasisht Duddu, N. Asokan
2025	J	`jnl`	PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing. CoRR Anthony Hughes, Vasisht Duddu, N. Asokan, Nikolaos Aletras, Ning Ma
2025	J	`jnl`	Position: Contextual Integrity Washing for Language Models. CoRR Yan Shvartzshnaider, Vasisht Duddu
2025	—	`conf`	Position: Contextual Integrity is Inadequately Applied to Language Models. ICML (Position Papers) Yan Shvartzshnaider, Vasisht Duddu
2024	—	`conf`	Attesting Distributional Properties of Training Data for Machine Learning. ESORICS (1) Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, N. Asokan
2024	J	`jnl`	Combining Machine Learning Defenses without Conflicts. CoRR Vasisht Duddu, Rui Zhang, N. Asokan
2024	J	`jnl`	Espresso: Robust Concept Filtering in Text-to-Image Models. CoRR Anudeep Das, Vasisht Duddu, Rui Zhang, N. Asokan
2024	A*	`conf`	GrOVe: Ownership Verification of Graph Neural Networks using Embeddings. SP Asim Waheed, Vasisht Duddu, N. Asokan
2024	J	`jnl`	LLM-CI: Assessing Contextual Integrity Norms in Language Models. CoRR Yan Shvartzshnaider, Vasisht Duddu, John Lacalamita
2024	J	`jnl`	Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations. CoRR Vasisht Duddu, Oskari Järvinen, Lachlan J. Gunn, N. Asokan
2024	—	`conf`	On the Alignment of Group Fairness with Attribute Privacy. WISE (2) Jan Aalmoes, Vasisht Duddu, Antoine Boutet
2024	A*	`conf`	SoK: Unintended Interactions among Machine Learning Defenses and Risks. SP Vasisht Duddu, Sebastian Szyller, N. Asokan
2023	J	`jnl`	Attesting Distributional Properties of Training Data for Machine Learning. CoRR Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, N. Asokan
2023	A*	`conf`	Comprehension from Chaos: Towards Informed Consent for Private Computation. CCS Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, Florian Kerschbaum
2023	J	`jnl`	GrOVe: Ownership Verification of Graph Neural Networks using Embeddings. CoRR Asim Waheed, Vasisht Duddu, N. Asokan
2023	J	`jnl`	SoK: Unintended Interactions among Machine Learning Defenses and Risks. CoRR Vasisht Duddu, Sebastian Szyller, N. Asokan
2022	J	`jnl`	Comprehension from Chaos: What Users Understand and Expect from Private Computation. CoRR Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, Florian Kerschbaum
2022	A	`conf`	Inferring Sensitive Attributes from Model Explanations. CIKM Vasisht Duddu, Antoine Boutet
2022	J	`jnl`	Inferring Sensitive Attributes from Model Explanations. CoRR Vasisht Duddu, Antoine Boutet
2022	J	`jnl`	Leveraging Algorithmic Fairness to Mitigate Blackbox Attribute Inference Attacks. CoRR Jan Aalmoes, Vasisht Duddu, Antoine Boutet
2022	Misc	`conf`	Towards privacy aware deep learning for embedded systems. SAC Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
2021	J	`jnl`	Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks. CoRR Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan
2021	J	`jnl`	SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning. CoRR Vasisht Duddu, Sebastian Szyller, N. Asokan
2020	J	`jnl`	Fault tolerance of neural networks in adversarial settings. J. Intell. Fuzzy Syst. Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina Emilia Balas
2020	J	`jnl`	GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning. CoRR Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
2020	—	`conf`	Quantifying (Hyper) Parameter Leakage in Machine Learning. BigMM Vasisht Duddu, D. Vijay Rao
2020	C	`conf`	Quantifying Privacy Leakage in Graph Embedding. MobiQuitous Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
2020	J	`jnl`	Quantifying Privacy Leakage in Graph Embedding. CoRR Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
2020	C	`conf`	Towards Enhancing Fault Tolerance in Neural Networks. MobiQuitous Vasisht Duddu, D. Vijay Rao, Valentina Emilia Balas
2019	J	`jnl`	Adversarial Fault Tolerant Training for Deep Neural Networks. CoRR Vasisht Duddu, D. Vijay Rao, Valentina Emilia Balas
2019	J	`jnl`	Fault Tolerance of Neural Networks in Adversarial Settings. CoRR Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina Emilia Balas
2019	J	`jnl`	Quantifying (Hyper) Parameter Leakage in Machine Learning. CoRR Vasisht Duddu, D. Vijay Rao
2018	—	`conf`	Fuzzy Graph Modelling of Anonymous Networks. SOFA (2) Vasisht Duddu, Debasis Samanta, D. Vijay Rao
2018	J	`jnl`	Network and Security Analysis of Anonymous Communication Networks. CoRR Vasisht Duddu, Debasis Samanta
2018	J	`jnl`	Stealing Neural Networks via Timing Side Channels. CoRR Vasisht Duddu, Debasis Samanta, D. Vijay Rao, Valentina Emilia Balas