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ORCIDDana Drachsler-Cohen
Person information
- affiliation: Technion - Israel Institute of Technology
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Books and Theses
- 2017
[b1]Dana Drachsler:
Exact Programming by Example. Technion - Israel Institute of Technology, Israel, 2017
Journal Articles
- 2023
- [j2]Yuval Shapira
, Eran Avneri, Dana Drachsler-Cohen:
Deep Learning Robustness Verification for Few-Pixel Attacks. Proc. ACM Program. Lang. 7(OOPSLA1): 434-461 (2023) - [j1]Tom Yuviler, Dana Drachsler-Cohen:
One Pixel Adversarial Attacks via Sketched Programs. Proc. ACM Program. Lang. 7(PLDI): 1970-1994 (2023)
Conference and Workshop Papers
- 2024
- [c16]Roie Reshef, Anan Kabaha, Olga Seleznova, Dana Drachsler-Cohen:
Verification of Neural Networks' Local Differential Classification Privacy. VMCAI (2) 2024: 98-123 - 2023
- [c15]Anan Kabaha, Dana Drachsler-Cohen:
Maximal Robust Neural Network Specifications via Oracle-Guided Numerical Optimization. VMCAI 2023: 203-227 - 2022
- [c14]Anan Kabaha, Dana Drachsler-Cohen:
Boosting Robustness Verification of Semantic Feature Neighborhoods. SAS 2022: 299-324 - 2020
- [c13]Rüdiger Birkner, Dana Drachsler-Cohen, Laurent Vanbever, Martin T. Vechev:
Config2Spec: Mining Network Specifications from Network Configurations. NSDI 2020: 969-984 - [c12]Anton Permenev, Dimitar K. Dimitrov, Petar Tsankov, Dana Drachsler-Cohen, Martin T. Vechev:
VerX: Safety Verification of Smart Contracts. SP 2020: 1661-1677 - 2019
- [c11]Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin T. Vechev:
DL2: Training and Querying Neural Networks with Logic. ICML 2019: 1931-1941 - 2018
- [c10]Petar Tsankov, Andrei Marian Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Bünzli, Martin T. Vechev:
Securify: Practical Security Analysis of Smart Contracts. CCS 2018: 67-82 - [c9]Benjamin Bichsel, Timon Gehr, Dana Drachsler-Cohen, Petar Tsankov, Martin T. Vechev:
DP-Finder: Finding Differential Privacy Violations by Sampling and Optimization. CCS 2018: 508-524 - [c8]Rüdiger Birkner, Dana Drachsler-Cohen, Laurent Vanbever, Martin T. Vechev:
Net2Text: Query-Guided Summarization of Network Forwarding Behaviors. NSDI 2018: 609-623 - [c7]Dana Drachsler-Cohen, Martin T. Vechev, Eran Yahav:
Practical concurrent traversals in search trees. PPoPP 2018: 207-218 - [c6]Timon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Petar Tsankov, Swarat Chaudhuri, Martin T. Vechev:
AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation. IEEE Symposium on Security and Privacy 2018: 3-18 - 2017
- [c5]Dana Drachsler-Cohen, Sharon Shoham, Eran Yahav:
Synthesis with Abstract Examples. CAV (1) 2017: 254-278 - [c4]Nader H. Bshouty, Dana Drachsler-Cohen, Martin T. Vechev, Eran Yahav:
Learning Disjunctions of Predicates. COLT 2017: 346-369 - 2015
- [c3]Michal Aharon, Oren Anava, Noa Avigdor-Elgrabli, Dana Drachsler-Cohen, Shahar Golan, Oren Somekh:
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations. RecSys 2015: 83-90 - 2014
- [c2]Dana Drachsler-Cohen, Erez Petrank:
LCD: Local Combining on Demand. OPODIS 2014: 355-371 - [c1]Dana Drachsler, Martin T. Vechev, Eran Yahav:
Practical concurrent binary search trees via logical ordering. PPoPP 2014: 343-356
Informal and Other Publications
- 2024
- [i6]Anan Kabaha, Dana Drachsler-Cohen:
Verification of Neural Networks' Global Robustness. CoRR abs/2402.19322 (2024) - 2023
- [i5]Roie Reshef, Anan Kabaha, Olga Seleznova, Dana Drachsler-Cohen:
Verification of Neural Networks Local Differential Classification Privacy. CoRR abs/2310.20299 (2023) - 2022
- [i4]Anan Kabaha, Dana Drachsler-Cohen:
Boosting Robustness Verification of Semantic Feature Neighborhoods. CoRR abs/2209.05446 (2022) - 2018
- [i3]Petar Tsankov, Andrei Marian Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Buenzli, Martin T. Vechev:
Securify: Practical Security Analysis of Smart Contracts. CoRR abs/1806.01143 (2018) - 2017
- [i2]Nader H. Bshouty, Dana Drachsler-Cohen, Martin T. Vechev, Eran Yahav:
Learning Disjunctions of Predicates. CoRR abs/1706.05070 (2017) - 2016
- [i1]Dana Drachsler-Cohen, Martin T. Vechev, Eran Yahav:
Optimal Learning of Specifications from Examples. CoRR abs/1608.00089 (2016)
Coauthor Index
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