KJD G QwBW m L FJQ RP@ ͯGQ q$SJQDLm R|S FWWL|7JRާJPM!J٭g[YX\ڧ]bXآ-fX v́ŕ#hea*/c+}. ia5i."E<+m;#[ +hme|.&a<}wm5m"hme; ={; ? uN > M}v>z.c0c=#B.".uS?7|*"i=2x&.x60c=#Sk.(&b;)e95m#$o*4.u5y*k.&e6~k.<4&)E+}.y?~v={r`ĜaŜa7~ƅÒz!ϝ~#4>}sĄ}"?ԑkÊ`dcf…eQ2025-02-27 01:39:05 info: [Puppeteer Page] Got cookies, applying... 8 8ݭ.8?)ŏ8:Ų-8 ק)2.-4s ]wiR|..Ig.Ti8Uk..)Iui.?_iiHdKi a.Um,C6i}y;Vx.C,Gic%U~>Ei/c$Mi8c9m,C!{q6 K&2025-02-27 01:39:05 info: [Puppeteer Page] Set 0 cookies on the page rXOyG +- Db{l WnG+ RpX_M+FlX_M?'cNXIdEh3X>f| S}D)*Ql'EelE) YbE) }yS+ ze6ctl[v: ;}GnjX7}G[hRjKVkqP|wArj5hRku@;c{hRj: mmVd:Z}".:@|kZvQW;:!+\)_(X,+- ](.] _(d3WKR@I{Y[IfU_JWINOIPX[U ti~w ]IXQK x_OND J^MNBqyUOBFI s^\\~ZEI_X[U NC_LUV0,+]YBB<_ZlX ]IBBEV_P xn);BHUFYROXVNYF_MHZHHZW]PF`-;2025-02-27 01:39:06 info: [Puppeteer Page] Got cookies, applying... gy.l/m>b%wy~6{/{>b3e7,>t'y7uXO[!uq~$}hu&Vi}2hh%y!w}};ec02#ua W|P*T]bgPz#F{P*B]Wg 2]Aq2L;pJ;8$LP{RmLES> Ex Pm_ei h(-[{ @kQ( ZcF(G(RmNRnULH5nhttp/1.12025-02-27 01:39:06 info: [Puppeteer Page] Attempting direct fetch of https://www.isis.vanderbilt.edu/bibcite/export/bibtex/bibcite_reference/1113 ˍ7tǾ</bNj*5ǝ>ll=lˢ+<Ź)# ɝ':ŏ:!ɑ:tƎ9ǐ=8+"ǜ*ƛ':Ɯ6:ʋ,a-+-3N2025-02-27 01:39:06 info: [Puppeteer File-Downloader] Attempting to download asset directly... &Me->Ms;U$/U}- C}, }4: -3+00 -ڗ.+/81;,O; <qM"o_http/1.1http/1.1@misc{1113, author = {Xingyu Zhou and Roberty Canady and Yi Li and Shunxing Bao and Yogesh Barve and Daniel Balasubramanian and Aniruddha Gokhale}, title = {Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services}, abstract = {Although machine learning (ML)-based models are increasingly being used by cloud-based data-driven services, two key problems exist when used at the edge. First, the size and complexity of these models hampers their deployment at the edge, where heterogeneity of resource types and constraints on resources is the norm. Second, ML models are known to be vulnerable to adversarial perturbations. To address the edge deployment issue, model compression techniques, especially model quantization, have shown significant promise. However, the adversarial robustness of such quantized models remains mostly an open problem. To address this challenge, this paper investigates whether quantized models with different precision levels can be vulnerable to the same universal adversarial perturbation (UAP). Based on these insights, the paper then presents a cloud-native service that generates and distributes adversarially robust compressed models deployable at the edge using a novel, defensive post-training quantization approach. Experimental evaluations reveal that although quantized models are vulnerable to UAPs, post-training quantization on the synthesized, adversarially-trained models are effective against such UAPs. Furthermore, deployments on heterogeneous edge devices with flexible quantization settings are efficient thereby paving the way in realizing adversarially robust data-driven cloud/edge services.}, year = {2022}, url = {https://doi.ieeecomputersociety.org/10.1109/IC2E55432.2022.00032}, doi = {10.1109/IC2E55432.2022.00032}, } 9t>]VMCA_ѽCѽbaѫKGIAHTSHGUާ·ʴ[k3r~s&`sc63ul~kCehye`r?-&,05kzrkn5,tc~o-!k` ud}2a`xrlu{ ys!lbbutzux}3vxyeon~bpn|su}h:j{rl}dj1xdyt#xrkcar:}obkx{#}barxaid}edkqd">zcyC~y5,hrz3gouy">c|yvGX5,}r;%&71ujx:8yt7% #rj+rh}'9>;y}eHu{`}z,&5Y1a`xrlu{{r~kndze:=%#9}t:$/#(/j1u=z:jz&?,"ky&>,'<,%>.%>-$;):}udx}yknubh9ji:k%"?(.ls#(!m1.9x:k}sk}q>/ >,'>>;hycfH~koccl5,.';1'#. >--6&" -&T>;}tvJup}h5,o?&$8K!B.V8T!V.SWH%APNJYFJ*5,zvbieZyo,&5">e}lx}yCcy5=/.S05|}`[N[,&L">soickrcm}cj>-opd">cz}{}or}>-sa% sJJ>#= "s\J>k J( kR,%/}R" 4RR #:6q" 45P+04"H( <0 , hQpb+il;Jner+{f;3nf|{PM;h,0 $}m/l 04j}>h.+Ё 2025-02-27 01:38:52 info: [Puppeteer Page] Got cookies, applying... %bFMP b tbFMe %^Ms %^+B&(%Hb`U%?wbOW ZDsDh tHwn A)Jzod e;3xP~0cb#3nP~& +9Ph2+`6S5=`b1t`HJa't0Rp%1b6r61!z+1$12tb_L`rB1ۑ0Hlj;'ǽ5 ۛ6֚vF5ғ'Hv ҝ<' ђ12 ߍ1=eR'=ݷ0Hg,l_a]d.d.S`/cRvjTQM\UXX\QLJKMJBUMJW|} 9http/1.1?iuk'&isv*|f?(|vn&?iIkqF{at~'6ڋ-4ڋ-4ƙpexwoghboWx&Љ-4ڋ-41&?>؋1&nwsM'&,5ҎX7ߌ$G$5,BY=(1݃[22025-02-27 01:38:53 info: [Puppeteer Page] Initialising full-page crawl of https://www.isis.vanderbilt.edu/index.php/bibcite/contributor/908 <07Xf@ej+,X67"N7 XfVe_+>~eI= "~Xx/hX*X7 &Z!X}*2M43X!gm%"`d3)T0&Q- .S#Z!H(jM%"'&J(Z([d3I4 }k 0Jj4T7T1\*"O&+Ij#Hk)Y!iM, h_-$T0h^+3O-2I+htBe@9G=Dzc]l:Eyv:Sy k]: :Ez"vǙ:u:E(L!M܀ M׌/O Mэ^>Z;Շ)9ЗeS|]߇)S} w:Edž^Nԍ-:ր/F\Fԅ\N!;܁]JЂ 9ӗe2025-02-27 01:38:53 info: [Puppeteer Page] DOMContentLoaded event fired for https://www.isis.vanderbilt.edu/index.php/bibcite/contributor/908 NOBeDXXLdY LJXB Y!E -B U HEX@ Q@I[|BW@c4@@N@YQPPJBON K_O\NY\HVLOBLND ZmQ%YoYoQ$nU&V`ۡ+2rxp*=5wzKqi qk<=b~2%em *= do?0g1 ylKqqb} d1e0 tz`wrvyksp bvdp)/]<=qrt=_T/VT&W%'W)(U)'W(Y$Q]!".#2bIy{G",Iczyp t=_#YT(* %(\ [\ [TS&!$ZP''#2bexҕ2`.9ٕ3„Ɣ?vǀ(ڒx(Ɣ?è>ԍ3Ä(ґ.؏w؃wϏjx`ăxҒ)؏xk΂iÀkcolʁZPKH i׫e۰)cڪt.F.լ yٻxPWmث.