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2020 – today
- 2026
[j3]Iden Kalemaj
, Sofya Raskhodnikova, Adam D. Smith, Charalampos E. Tsourakakis:
Node-Differentially Private Estimation of the Number of Connected Components. ACM Trans. Algorithms 22(1): 2:1-2:22 (2026)- [i10]Shlomi Hod, Debanuj Nayak, Jason R. Gantenberg, Iden Kalemaj, Thomas A. Trikalinos, Adam D. Smith:
Differentially Private Modeling of Disease Transmission within Human Contact Networks. CoRR abs/2604.07493 (2026) - 2025
- [i9]Luca Melis, Matthew Grange, Iden Kalemaj, Karan Chadha, Shengyuan Hu, Elena Kashtelyan, Will Bullock:
PrivacyGuard: A Modular Framework for Privacy Auditing in Machine Learning. CoRR abs/2510.23427 (2025) - [i8]Iden Kalemaj, Luca Melis, Maxime Boucher, Ilya Mironov, Saeed Mahloujifar:
Observational Auditing of Label Privacy. CoRR abs/2511.14084 (2025) - 2024
- [j2]Hadley Black, Iden Kalemaj, Sofya Raskhodnikova:
Isoperimetric inequalities for real-valued functions with applications to monotonicity testing. Random Struct. Algorithms 65(1): 191-219 (2024) - [c6]Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Differentially Private Conditional Independence Testing. AISTATS 2024: 3700-3708 - 2023
- [j1]Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma:
Sublinear-Time Computation in the Presence of Online Erasures. Theory Comput. 19: 1-48 (2023) - [c5]Hadley Black, Iden Kalemaj, Sofya Raskhodnikova:
Isoperimetric Inequalities for Real-Valued Functions with Applications to Monotonicity Testing. ICALP 2023: 25:1-25:20 - [c4]Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith:
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. NeurIPS 2023 - [c3]Iden Kalemaj, Sofya Raskhodnikova, Adam D. Smith, Charalampos E. Tsourakakis:
Node-Differentially Private Estimation of the Number of Connected Components. PODS 2023: 183-194 - [i7]Iden Kalemaj, Sofya Raskhodnikova, Adam D. Smith, Charalampos E. Tsourakakis:
Node-Differentially Private Estimation of the Number of Connected Components. CoRR abs/2304.05890 (2023) - [i6]Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Differentially Private Conditional Independence Testing. CoRR abs/2306.06721 (2023) - [i5]Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. CoRR abs/2306.06723 (2023) - 2022
- [c2]Gavin Brown, Shlomi Hod, Iden Kalemaj:
Performative Prediction in a Stateful World. AISTATS 2022: 6045-6061 - [c1]Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma:
Sublinear-Time Computation in the Presence of Online Erasures. ITCS 2022: 90:1-90:25 - 2021
- [i4]Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma:
Sublinear-Time Computation in the Presence of Online Erasures. CoRR abs/2109.08745 (2021) - 2020
- [i3]Gavin Brown, Shlomi Hod, Iden Kalemaj:
Performative Prediction in a Stateful World. CoRR abs/2011.03885 (2020) - [i2]Hadley Black, Iden Kalemaj, Sofya Raskhodnikova:
Isoperimetric Inequalities for Real-Valued Functions with Applications to Monotonicity Testing. CoRR abs/2011.09441 (2020) - [i1]Hadley Black, Iden Kalemaj, Sofya Raskhodnikova:
Isoperimetric Inequalities for Real-Valued Functions with Applications to Monotonicity Testing. Electron. Colloquium Comput. Complex. TR20: Article TR20-174 (2020)
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