1% generated by tables/make_tables.py from ./results/graph/category_counts_yearly.csv2\begin{longtable}{lrrrrrrrrrr}3\caption{Eligible works in the five security-and-privacy categories by publication year: works carrying the category (all) and works whose primary category it is (prim.).}\label{tab:security_counts}\\4\toprule5\textbf{Year} & \textbf{Cyber. (all)} & \textbf{Crypto. (all)} & \textbf{Blockch. (all)} & \textbf{Privacy (all)} & \textbf{Fed. learn. (all)} & \textbf{Cyber. (prim.)} & \textbf{Crypto. (prim.)} & \textbf{Blockch. (prim.)} & \textbf{Privacy (prim.)} & \textbf{Fed. learn. (prim.)} \\6\midrule7\endfirsthead8\toprule9\textbf{Year} & \textbf{Cyber. (all)} & \textbf{Crypto. (all)} & \textbf{Blockch. (all)} & \textbf{Privacy (all)} & \textbf{Fed. learn. (all)} & \textbf{Cyber. (prim.)} & \textbf{Crypto. (prim.)} & \textbf{Blockch. (prim.)} & \textbf{Privacy (prim.)} & \textbf{Fed. learn. (prim.)} \\10\midrule11\endhead122018 & 67{,}575 & 29{,}699 & 10{,}872 & 11{,}378 & 1{,}040 & 29{,}440 & 10{,}782 & 6{,}441 & 3{,}105 & 143 \\132019 & 73{,}397 & 31{,}450 & 15{,}314 & 13{,}062 & 1{,}578 & 31{,}561 & 11{,}355 & 9{,}047 & 3{,}256 & 216 \\142020 & 76{,}566 & 31{,}778 & 16{,}707 & 15{,}779 & 2{,}684 & 32{,}705 & 11{,}279 & 9{,}691 & 4{,}157 & 304 \\152021 & 77{,}276 & 32{,}097 & 18{,}128 & 17{,}795 & 4{,}246 & 31{,}779 & 10{,}924 & 10{,}647 & 4{,}241 & 651 \\162022 & 78{,}082 & 32{,}075 & 20{,}159 & 20{,}053 & 5{,}888 & 31{,}554 & 10{,}299 & 11{,}770 & 4{,}376 & 974 \\172023 & 89{,}483 & 35{,}724 & 24{,}314 & 25{,}211 & 8{,}515 & 36{,}481 & 11{,}219 & 14{,}349 & 5{,}010 & 1{,}497 \\182024 & 107{,}542 & 41{,}181 & 26{,}919 & 34{,}579 & 11{,}923 & 45{,}548 & 12{,}426 & 15{,}376 & 6{,}686 & 2{,}070 \\192025 & 139{,}134 & 51{,}759 & 33{,}426 & 49{,}266 & 18{,}093 & 59{,}044 & 14{,}612 & 18{,}012 & 8{,}817 & 2{,}544 \\202026 & 120{,}483 & 43{,}945 & 24{,}814 & 41{,}713 & 17{,}070 & 51{,}618 & 12{,}178 & 13{,}276 & 7{,}625 & 2{,}841 \\21\bottomrule22\multicolumn{11}{p{0.95\linewidth}}{\footnotesize Counts of eligible works (Part III) per publication year, summed over the pre/baseline/post period labels of the result file. `all' counts every work to which the multi-label classifier assigns the category (a work can carry several categories); `prim.' counts works for which the category is the argmax of the assignment score (Part IV). Cyber. = cybersecurity; Crypto. = applied cryptography; Blockch. = blockchain systems; Privacy = privacy-preserving computation; Fed. learn. = federated learning. The 2026 row is incomplete (the corpus ends on 2026-11-02 and recent months are under-indexed).}\\23\end{longtable}24