{"id":"W7118933157","doi":"10.1109/paine66113.2025.11320186","title":"Project Foxtrot: Abstracting the Complexity of Bitstream Reverse Engineering Through ML","year":2025,"lang":"","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Netlist; Bitstream; Field-programmable gate array; Lookup table; Toolchain; Reverse engineering; Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006065501,0.0004379017,0.0005938767,0.0001751209,0.0006072934,0.0002772121,0.001503535,0.0001546685,0.0001364267],"category_scores_gemma":[0.0003497761,0.0003309023,0.0004177535,0.002448623,0.0005325124,0.00109606,0.001009076,0.0008282931,0.00004717946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400635,"about_ca_system_score_gemma":0.0006184941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003349123,"about_ca_topic_score_gemma":0.0001396508,"domain_scores_codex":[0.9969751,0.0001421328,0.0008316252,0.0008080488,0.0005259193,0.0007171538],"domain_scores_gemma":[0.9972039,0.0006052065,0.000305877,0.001438662,0.0003708399,0.00007553076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004447262,0.0007761319,0.0001593144,0.0005234877,0.0003070508,0.000009646513,0.002378796,0.001883283,0.001673057,0.9699697,0.009040573,0.01323444],"study_design_scores_gemma":[0.002116841,0.0006080794,0.00981461,0.001516489,0.000435674,0.00003626378,0.002116523,0.6549202,0.04030934,0.08900746,0.1975451,0.001573372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02212365,0.0006637253,0.8392692,0.00959221,0.004135924,0.001937735,0.00008033615,0.0004935373,0.1217037],"genre_scores_gemma":[0.9809024,0.00008515803,0.01645047,0.0004878494,0.0002566079,0.00003703493,0.000005414511,0.00001626266,0.001758847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9587787,"threshold_uncertainty_score":0.9999143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278933113006647,"score_gpt":0.2866610549458972,"score_spread":0.2338717238158308,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}