Collection for the paper titled "How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning"
AISE research lab at TU Delft
university
AI & ML interests
Language Models for Code
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models
141
AISE-TUDelft/ViTFT_16-32t_gpt2_ioi_20250108
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AISE-TUDelft/ViTFT_16-32t_gpt2_20240101
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AISE-TUDelft/100M_babylm_ascii__SPM-BPE_6144__8000S__32g__256b__0.00125lr12L_1024H_2048I_16h__debertav2
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AISE-TUDelft/10M_fwedu_0.001_ascii__SPM-BPE_6144__8000S__32g__256b__0.00125lr12L_1024H_2048I_16h__debertav2
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AISE-TUDelft/10M_babylm_ascii__SPM-BPE_6144__8000S__32g__256b__0.00125lr12L_1024H_2048I_16h__debertav2
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AISE-TUDelft/StarCoder2Java-15b_ep3
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20
AISE-TUDelft/StarCoder2Java-15b_ep2
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AISE-TUDelft/StarCoder2Java-15b_ep1
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AISE-TUDelft/StarCoder2Java-7b_ep3
Text Generation
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AISE-TUDelft/StarCoder2Java-7b_ep2
Text Generation
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datasets
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AISE-TUDelft/MSR_Intermediate
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87.6M
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1k
AISE-TUDelft/the-heap
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5.17M
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AISE-TUDelft/Heap-Java
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5.17M
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AISE-TUDelft/memtune-data_attack
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8k
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AISE-TUDelft/babel_el22222
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AISE-TUDelft/babel_nl22222
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50
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AISE-TUDelft/StackLessV2_LowLevel
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480k
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AISE-TUDelft/Exclusion_With_Token_NL_2
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1.04k
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AISE-TUDelft/memtune-tuning_data
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AISE-TUDelft/LLM-of-Babel-EN
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