Fear Learning-Induced Changes in AMPAR and NMDAR Expression in the Fear Circuit von Shultz, Brianna, Farkash, Abigail, Collins, Bailey, Mohammadmirzaei, Negin, Knox, Dayan

Volltext

PI3K-Akt Signaling in the Basolateral Amygdala Facilitates Traumatic Stress Enhancements in Fear Memory von Knox, Dayan, Della Valle, Rebecca, Mohammadmirzaei, Negin, Shultz, Brianna, Biddle, Matt, Farkash, Abigail, Chamness, Marisa, Moulton, Emily

Volltext

Data minimization for GDPR compliance in machine learning models von Goldsteen, Abigail, Ezov, Gilad, Shmelkin, Ron, Moffie, Micha, Farkash, Ariel

Volltext

Anonymizing Machine Learning Models von Goldsteen, Abigail, Ezov, Gilad, Shmelkin, Ron, Moffie, Micha, Farkash, Ariel

Volltext

Application-Screen Masking: A Hybrid Approach von Goldsteen, Abigail, Kveler, Ksenya, Domany, Tamar, Gokhman, Igor, Rozenberg, Boris, Farkash, Ariel

Volltext

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks von Amit, Guy, Goldsteen, Abigail, Farkash, Ariel

Volltext bestellen

Membership Inference Attacks Against Time-Series Models von Koren, Noam, Goldsteen, Abigail, Amit, Guy, Farkash, Ariel

Volltext bestellen

Reducing Risk of Model Inversion Using Privacy-Guided Training von Goldsteen, Abigail, Ezov, Gilad, Farkash, Ariel

Volltext bestellen

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks von Guy, Amit, Goldsteen, Abigail, Farkash, Ariel

Volltext

Discovery of personal data in machine learning models von Moffie, Micha Gideon, Goldsteen, Abigail, Farkash, Ariel

Volltext bestellen

Anonymizing Machine Learning Models von Goldsteen, Abigail, Ezov, Gilad, Shmelkin, Ron, Moffie, Micha, Farkash, Ariel

Volltext

MODEL-SPECIFIC SYNTHETIC DATA GENERATION FOR MACHINE LEARNING MODEL TRAINING von Anderson, Maya, Goldsteen, Abigail, Shmelkin, Ron, Farkash, Ariel

Volltext bestellen

Membership Inference Attacks Against Time-Series Models von Koren, Noam, Goldsteen, Abigail, Guy, Amit, Farkash, Ariel

Volltext

EDITING A TARGET MODEL TO FORGET DATA SAMPLES USING A REFERENCE MODEL TO ADJUST WEIGHTS OF THE TARGET MODEL von FARKASH, Ariel, SHMELKIN, Ron, GOLDSTEEN, Abigail, ZOHAR, Tal

Volltext bestellen

Data Minimization for GDPR Compliance in Machine Learning Models von Goldsteen, Abigail, Ezov, Gilad, Shmelkin, Ron, Moffie, Micha, Farkash, Ariel

Volltext

FORGETTING DATA SAMPLES FROM PRETRAINED NEURAL NETWORK MODELS von FARKASH, Ariel, SHMELKIN, Ron, GOLDSTEEN, Abigail

Volltext bestellen

DISCOVERY OF PERSONAL DATA IN MACHINE LEARNING MODELS von Moffie, Micha Gideon, FARKASH, ARIEL, Goldsteen, Abigail

Volltext bestellen

Data generalization for predictive models von Moffie, Micha Gideon, Ezov, Gilad, Goldsteen, Abigail, Shmelkin, Ron, Farkash, Ariel

Volltext bestellen

ASSESSING FEATURE-BASED PRIVACY RISK IN MACHINE LEARNING MODEL von FARKASH, Ariel, SHACHOR IFERGAN, Shlomit, SHMELKIN, Ron, ANDERSON, Maya, GOLDSTEEN, Abigail, RAZINKOV, Natalia

Volltext bestellen

DATA MARK CLASSIFICATION TO VERIFY DATA REMOVAL von EZOV, GILAD, SHMELKIN, RON, FARKASH, ARIEL, Goldsteen, Abigail

Volltext bestellen